{"meta":{"query_hash":"dce86646e2ef","filters":{"venue":"Bioengineered"},"cohort_total":17,"direct_labels_cover":0,"predictions_cover":17,"exported":17,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/dce86646e2ef","api":"https://metacan.xera.ac/api/v1/cohort?venue=Bioengineered"},"results":[{"id":"W1483982926","doi":"10.4161/bioe.28722","title":"A commentary on the disparate perspectives of clinical microbiologists and surgeons","year":2014,"lang":"en","type":"review","venue":"Bioengineered","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Intensive care medicine; Context (archaeology); Medicine; Multidisciplinary approach; Amputation; Orthopedic surgery; Surgery; General surgery; Biology; Political science","score_opus":0.07276569959169031,"score_gpt":0.3957885825825121,"score_spread":0.32302288299082177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483982926","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016373977,0.9960974,0.000012660439,0.00066872576,0.00025673863,0.0007330445,0.00016397944,0.000026491705,0.00040357886],"genre_scores_gemma":[0.0055351583,0.99365014,0.000047144043,0.00015752976,0.00016557028,0.000040754105,0.00013932455,0.000021481423,0.00024289232],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989372,0.00016108618,0.00047144605,0.00023934669,0.00005868977,0.00013225562],"domain_scores_gemma":[0.9987884,0.0005816766,0.00018105308,0.00034592758,0.000033937125,0.000068961795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032802994,0.00023311311,0.0012893949,0.00008842046,0.0000419394,0.000005762863,0.000040196588,0.0001808054,0.00004783159],"category_scores_gemma":[0.00014190612,0.000114906026,0.00042555813,0.00011130372,0.00018132626,0.000006919064,0.000034364064,0.00026881977,0.000023150576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010908294,0.0019640175,0.0064347005,0.011063192,0.005512457,0.00006483245,0.0001423412,4.361527e-7,0.0000020649366,0.0016201133,0.068448775,0.904638],"study_design_scores_gemma":[0.00047149535,0.0004452147,0.0011954114,0.003273017,0.0011239763,0.000049607217,0.00002412235,0.0000053334297,7.361802e-7,0.0000017535156,0.99329996,0.00010937588],"about_ca_topic_score_codex":0.000053740307,"about_ca_topic_score_gemma":0.000005252886,"teacher_disagreement_score":0.9248512,"about_ca_system_score_codex":0.00002795521,"about_ca_system_score_gemma":0.000052897318,"threshold_uncertainty_score":0.46857318},"labels":[],"label_agreement":null},{"id":"W1587982267","doi":"10.1080/21655979.2015.1011027","title":"Biosynthesis of poly(3-hydroxypropionate) from glycerol using engineered<i>Klebsiella pneumoniae</i>strain without vitamin B<sub>12</sub>","year":2015,"lang":"en","type":"article","venue":"Bioengineered","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; Chinese Academy of Sciences; University of Bristol; Public Health Agency of Canada; Arizona State University","keywords":"Klebsiella pneumoniae; Metabolic engineering; Glycerol; Escherichia coli; Biochemistry; Biosynthesis; Chemistry; Polyhydroxyalkanoates; Strain (injury); Cupriavidus necator; Yield (engineering); Microbiology; Bacteria; Enzyme; Biology; Gene; Materials science","score_opus":0.03455319428434555,"score_gpt":0.21933208124380282,"score_spread":0.18477888695945727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587982267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982353,0.011742633,0.0029080345,0.00033015653,0.0009609451,0.0002701562,0.0009892225,0.00025554278,0.00019036679],"genre_scores_gemma":[0.993182,0.00007098056,0.0061767516,0.000066680586,0.00027847645,0.000022926382,0.0000319372,0.000093123585,0.00007710376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99714744,0.0001601473,0.00073122786,0.0006259315,0.0006540007,0.00068127504],"domain_scores_gemma":[0.9983472,0.00015670333,0.0002418269,0.0007422585,0.00013896821,0.00037303593],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005027638,0.00051896105,0.0007467762,0.00022674318,0.000100491634,0.00011118686,0.00059588003,0.00030116545,0.00014204624],"category_scores_gemma":[0.00020136581,0.00043278642,0.00019182215,0.0002857519,0.00020864874,0.00028660518,0.00013597496,0.00016326358,0.00013739025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011801481,0.00010038241,0.00028364712,0.00005187312,0.00006112951,0.000008155769,0.00040397837,0.00012210749,0.9904423,0.00005493019,0.00017963182,0.008173889],"study_design_scores_gemma":[0.0006084143,0.00011928397,0.00019714645,0.00015747946,0.00010457574,0.000016234977,0.00020325543,0.010937187,0.9863211,0.00007331604,0.00071099465,0.00055100623],"about_ca_topic_score_codex":0.001113173,"about_ca_topic_score_gemma":0.000041326955,"teacher_disagreement_score":0.011671652,"about_ca_system_score_codex":0.000111213965,"about_ca_system_score_gemma":0.00020289022,"threshold_uncertainty_score":0.99981236},"labels":[],"label_agreement":null},{"id":"W2013279598","doi":"10.4161/bbug.3.1.17696","title":"Genetic analysis of Down syndrome facilitated by mouse chromosome engineering","year":2012,"lang":"en","type":"article","venue":"Bioengineered","topic":"Down syndrome and intellectual disability research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sleep Society; Brock University","funders":"National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute","keywords":"Chromosome 21; Down syndrome; Biology; Phenotype; Trisomy; Genetics; Aneuploidy; Chromosome; DYRK1A; Gene","score_opus":0.02090669466579663,"score_gpt":0.2686757198771396,"score_spread":0.24776902521134297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013279598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99681634,0.0013668335,0.0007605324,0.00006539849,0.00006147475,0.00030112627,0.00023502084,0.00011183236,0.00028143814],"genre_scores_gemma":[0.9972956,0.000054192664,0.0005295322,0.0000202973,0.000022025473,0.000027483024,0.00020580823,0.000028153429,0.0018168875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99834776,0.000027637805,0.0004214369,0.00023425533,0.00041888596,0.0005500367],"domain_scores_gemma":[0.99890184,0.000078370096,0.000029913226,0.0005026469,0.00010921005,0.00037800948],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021078691,0.00020847537,0.00063802744,0.0005730415,0.000020146002,0.00001089218,0.00014214919,0.00013108636,0.0029275871],"category_scores_gemma":[0.0003715274,0.0001851123,0.00029046962,0.0017375868,0.00007759388,0.00010122099,0.000045956283,0.00017291626,0.00028095272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008638395,0.00096917775,0.073459946,0.0005343046,0.004450232,0.0000075851526,0.00080334186,0.00077181205,0.9102322,0.000030842366,0.008167523,0.00048664174],"study_design_scores_gemma":[0.0026431128,0.0020007216,0.76328343,0.00013402503,0.0037740646,0.00031939524,0.0003123041,0.060082175,0.14717712,0.0000033397127,0.019107927,0.0011623851],"about_ca_topic_score_codex":0.000077793826,"about_ca_topic_score_gemma":8.0760907e-7,"teacher_disagreement_score":0.7630551,"about_ca_system_score_codex":0.00010251643,"about_ca_system_score_gemma":0.000030908337,"threshold_uncertainty_score":0.9979839},"labels":[],"label_agreement":null},{"id":"W2027354549","doi":"10.4161/bioe.28599","title":"A commentary on the role of molecular technology and automation in clinical diagnostics","year":2014,"lang":"en","type":"article","venue":"Bioengineered","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Clinical microbiology; Microbiology; Molecular diagnostics; Identification (biology); Polymerase chain reaction; Yeast; Biology; Computational biology; Medicine; Bioinformatics; Genetics","score_opus":0.00829370322423413,"score_gpt":0.25205211000348254,"score_spread":0.24375840677924843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027354549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970975,0.0001630804,0.0003563568,0.0021467754,0.000049612707,0.00010069633,0.000004164636,0.000010247214,0.00007157533],"genre_scores_gemma":[0.99911046,0.00005595986,0.00035223665,0.0004050972,0.000033734013,0.000007988036,0.000025866455,0.0000049948353,0.0000036445176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995387,0.00006286843,0.00018506209,0.000117232805,0.000033921875,0.000062218365],"domain_scores_gemma":[0.9996488,0.000063574116,0.000041527514,0.00020576276,0.000023919618,0.000016400505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028426596,0.000049134862,0.000071446375,0.000047620746,0.000013003302,0.0000058143323,0.00007551307,0.00008571719,0.000002639528],"category_scores_gemma":[0.0008150234,0.000040144707,0.000019885127,0.00008137006,0.00005707672,9.4524677e-7,0.000036905796,0.000052289495,0.0000013313744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015993302,0.000091853,0.04699176,0.000009102397,0.000012970758,2.4730946e-7,0.0000195973,0.000016846185,0.93422836,0.004952747,0.00077913003,0.012881418],"study_design_scores_gemma":[0.0010998228,0.0007273773,0.23783377,0.00006803782,0.000021797163,0.000003903453,0.00021245757,0.01089561,0.71495533,0.002981333,0.030930296,0.00027027196],"about_ca_topic_score_codex":0.0000066743282,"about_ca_topic_score_gemma":0.000007335893,"teacher_disagreement_score":0.21927302,"about_ca_system_score_codex":0.0000030187737,"about_ca_system_score_gemma":0.0000054136303,"threshold_uncertainty_score":0.16370536},"labels":[],"label_agreement":null},{"id":"W2067924848","doi":"10.4161/bbug.19687","title":"The winemaker’s bug","year":2012,"lang":"en","type":"review","venue":"Bioengineered","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Australian Government; National Cancer Research Institute; Government of South Australia; Alberta Water Research Institute","keywords":"Wine; Winemaking; Biotechnology; Quality (philosophy); Yeast; Yeast in winemaking; Biology; Saccharomyces cerevisiae; Business; Food science; Genetics","score_opus":0.10342861394702706,"score_gpt":0.28727371685655406,"score_spread":0.183845102909527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067924848","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000011404973,0.998713,7.183362e-7,0.00019329616,0.0002481473,0.00018710355,0.000044705186,0.0000607422,0.0005408694],"genre_scores_gemma":[0.000059082136,0.9948936,0.000009952047,0.000036751484,0.0005689508,0.000031791198,0.0002780162,0.0000012928733,0.0041205264],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991009,0.00008880559,0.00026936125,0.00015616977,0.00013743628,0.00024729906],"domain_scores_gemma":[0.9994518,0.0002613592,0.000099451434,0.000077392004,0.000021830714,0.000088161076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015284072,0.00020106461,0.00041977648,0.000009779472,0.00019653073,0.00007238229,0.00026141567,0.00013296508,0.0005198831],"category_scores_gemma":[0.000020505393,0.000045771532,0.0004162602,0.00035945847,0.000029287174,0.000030547857,0.000030756368,0.00012237708,0.0005483968],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.6619297e-7,0.000009784506,8.633235e-7,0.00010650478,0.00005666696,6.537588e-7,0.0000033476506,9.909703e-8,0.000010296405,0.00012949509,0.001739556,0.99794215],"study_design_scores_gemma":[0.000012522001,0.0000113777005,0.000040166517,0.000111613226,0.00026296635,0.000004902275,0.000019389749,0.0000031764569,7.753522e-7,0.000004296073,0.9993847,0.00014410647],"about_ca_topic_score_codex":0.000011220919,"about_ca_topic_score_gemma":0.000035684694,"teacher_disagreement_score":0.9977981,"about_ca_system_score_codex":0.000022793069,"about_ca_system_score_gemma":0.0000056525696,"threshold_uncertainty_score":0.7048714},"labels":[],"label_agreement":null},{"id":"W2078958141","doi":"10.4161/bioe.23251","title":"From biocontrol to cancer, probiotics and beyond","year":2013,"lang":"en","type":"article","venue":"Bioengineered","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Terminology; Context (archaeology); Isolation (microbiology); Computational biology; Biology; Computer science; Biotechnology; Bioinformatics; Philosophy","score_opus":0.007925406428574118,"score_gpt":0.19124265487290898,"score_spread":0.18331724844433486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078958141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911118,0.00046434943,0.000021606946,0.007338263,0.00017389868,0.00042078455,0.00020327825,0.00006289054,0.00020313822],"genre_scores_gemma":[0.9982155,0.00004118054,0.0006095366,0.0006144694,0.0002574582,0.000035887657,0.000037573194,9.7265e-7,0.00018745466],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99943423,0.000007917232,0.0001051271,0.000189048,0.000064496584,0.00019916735],"domain_scores_gemma":[0.999727,0.00002921319,0.000018519584,0.000040223007,0.000034645887,0.0001503729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026936905,0.000103078004,0.00011192006,0.000008982155,0.000048201066,0.00007326622,0.00011142393,0.00006730655,0.0003447229],"category_scores_gemma":[0.000010898979,0.000039020346,0.000025617248,0.00013204101,0.000016936427,0.000048886275,0.000048830207,0.000049070597,0.00007019085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071978143,0.00003304989,0.0006804485,0.000002453693,0.000021153193,5.1801794e-7,0.00005635302,0.0000056737667,0.9397803,0.00016273985,0.004579256,0.054670867],"study_design_scores_gemma":[0.0016137153,0.0020959785,0.7326451,0.00011519875,0.00010142301,0.0000057625393,0.00089505914,0.008154565,0.09861362,0.0042066053,0.14979044,0.001762527],"about_ca_topic_score_codex":0.0007511031,"about_ca_topic_score_gemma":0.00009577948,"teacher_disagreement_score":0.8411667,"about_ca_system_score_codex":0.000011915412,"about_ca_system_score_gemma":0.0000027697847,"threshold_uncertainty_score":0.37744743},"labels":[],"label_agreement":null},{"id":"W2128606674","doi":"10.4161/bioe.28431","title":"Bacterial consortia constructed for the decomposition of<i>Agave</i>biomass","year":2014,"lang":"en","type":"article","venue":"Bioengineered","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"Lakehead University","keywords":"Agave; Biomass (ecology); Decomposition; Pulp and paper industry; Environmental science; Botany; Chemistry; Agronomy; Biology; Engineering; Organic chemistry","score_opus":0.008647893895397689,"score_gpt":0.2086001178419475,"score_spread":0.19995222394654982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128606674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8297649,0.0005108171,0.15920565,0.0008289215,0.0071578124,0.0009810914,0.00019215351,0.0007210607,0.0006375741],"genre_scores_gemma":[0.9977023,0.000020980262,0.0018577011,0.000020763464,0.00028966035,0.0000143724055,0.00005848825,0.00001643424,0.000019307236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949676,0.0000126522955,0.00018297779,0.00010507218,0.00006717376,0.00013536423],"domain_scores_gemma":[0.99962515,0.00007668383,0.00002985748,0.00017779855,0.00005343041,0.00003707821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011006754,0.00010534795,0.00012270326,0.000047947102,0.000042634267,0.000015631436,0.00010024433,0.00008175775,0.00008025137],"category_scores_gemma":[0.000025202893,0.00007942103,0.00006958382,0.00009484821,0.00006416553,0.000043099597,0.000010198241,0.000047911984,0.000011721959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005447645,0.000012374067,0.00008251613,0.00021544559,0.00007578042,1.0601482e-7,0.000032214368,0.00032293244,0.9872188,0.0006283987,0.0060010827,0.005355862],"study_design_scores_gemma":[0.0013842001,0.0000914046,0.0020053994,0.000020341788,0.000064656386,0.000014710058,0.0000403976,0.08471856,0.777599,0.00012444539,0.1336983,0.00023862672],"about_ca_topic_score_codex":0.000004720387,"about_ca_topic_score_gemma":7.9858916e-7,"teacher_disagreement_score":0.20961985,"about_ca_system_score_codex":0.000014726919,"about_ca_system_score_gemma":0.0000065505524,"threshold_uncertainty_score":0.32386956},"labels":[],"label_agreement":null},{"id":"W2170727916","doi":"10.4161/bioe.21951","title":"Increased expression of β-glucosidase A in Clostridium thermocellum 27405 significantly increases cellulase activity","year":2012,"lang":"en","type":"article","venue":"Bioengineered","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Clostridium thermocellum; Cellulase; Clostridium; Microbiology; Food science; Chemistry; Expression (computer science); Biology; Enzyme; Biochemistry; Bacteria; Computer science; Genetics","score_opus":0.013078873332354279,"score_gpt":0.2004678649388761,"score_spread":0.18738899160652184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170727916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974289,0.000870186,0.00044111462,0.00002965395,0.0003856376,0.00026107198,0.00004845326,0.00022750601,0.00030749518],"genre_scores_gemma":[0.9993061,0.000090589594,0.00028784806,0.000010197607,0.00018722504,0.000016049711,0.000032055053,0.00003395267,0.00003598184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896574,0.00006284999,0.0002522146,0.00017901593,0.00017673866,0.0003634613],"domain_scores_gemma":[0.9993812,0.000052053463,0.000050037383,0.00030145628,0.000027783115,0.00018750725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023836462,0.00022200008,0.00024568904,0.00023019868,0.000023807112,0.000009429775,0.00013040016,0.00016631563,0.0002208938],"category_scores_gemma":[0.000044630295,0.00020362878,0.00008141336,0.0003264952,0.000044942328,0.00022899358,0.000036557343,0.00018333744,0.00003731272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008233598,0.0002754791,0.0018931131,0.00023750897,0.000010321156,0.0000032402993,0.00009149549,0.00013337425,0.9956833,0.0000065716117,0.0009806385,0.0006025968],"study_design_scores_gemma":[0.0007013947,0.00003538789,0.008153038,0.0000523893,0.000013847842,0.0000041511166,0.00009038965,0.0032662994,0.98604,0.0000037412271,0.001400804,0.00023857606],"about_ca_topic_score_codex":0.00017120327,"about_ca_topic_score_gemma":0.0000022335794,"teacher_disagreement_score":0.009643344,"about_ca_system_score_codex":0.0000714747,"about_ca_system_score_gemma":0.000019248038,"threshold_uncertainty_score":0.83037406},"labels":[],"label_agreement":null},{"id":"W2209998972","doi":"10.1080/21655979.2015.1109755","title":"Food safety knowledge on the Bt mutant protein Cry8Ka5 employed in the development of coleopteran-resistant transgenic cotton plants","year":2015,"lang":"en","type":"review","venue":"Bioengineered","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Lethbridge","keywords":"Bacillus thuringiensis; Biology; Genetically modified crops; Biotechnology; Context (archaeology); Genetically modified organism; Transgene; Food safety; Computational biology; Gene; Genetics; Food science; Bacteria","score_opus":0.05551112431253189,"score_gpt":0.3003872012927212,"score_spread":0.2448760769801893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209998972","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028805776,0.9674555,0.000088517285,0.000028433897,0.0001450135,0.002398452,0.0004133281,0.000011572886,0.00065342453],"genre_scores_gemma":[0.120393395,0.87676203,0.00035364777,0.00004864267,0.00027219843,0.0007841375,0.00092127576,0.00011744698,0.00034722747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977078,0.00030668257,0.00085743796,0.0004228005,0.00030951516,0.00039580805],"domain_scores_gemma":[0.99883133,0.000058177757,0.00021168149,0.0007488131,0.000086434025,0.000063561994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078631804,0.0005046445,0.0008062225,0.00010749987,0.00008298019,0.00002303412,0.0007900018,0.00040118204,0.0000080248465],"category_scores_gemma":[0.00004467719,0.00028485848,0.00029835253,0.00023409133,0.0000650448,0.0000014737385,0.000056332447,0.0002845491,0.000014652642],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004039878,0.0028799055,0.000009897484,0.034534127,0.004065026,0.000055985704,0.010962644,0.000084919535,0.074503146,0.0020524927,0.0046404153,0.8621716],"study_design_scores_gemma":[0.0005321197,0.0006577982,0.00002854894,0.0023136432,0.00009250226,0.0000052055575,0.0001239871,0.000001717348,0.011556145,0.000008595277,0.98428327,0.00039649778],"about_ca_topic_score_codex":0.0000029674893,"about_ca_topic_score_gemma":0.00046455796,"teacher_disagreement_score":0.9796428,"about_ca_system_score_codex":0.00007923162,"about_ca_system_score_gemma":0.0008188611,"threshold_uncertainty_score":0.99996036},"labels":[],"label_agreement":null},{"id":"W3096405833","doi":"10.1080/21655979.2020.1831361","title":"Prognostic and clinical significance of long non-coding RNA SNHG12 expression in various cancers","year":2020,"lang":"en","type":"article","venue":"Bioengineered","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundamental Research Funds for Central Universities of the Central South University; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Long non-coding RNA; Expression (computer science); Coding (social sciences); Clinical significance; RNA; Biology; Computational biology; Oncology; Medicine; Cancer research; Gene; Internal medicine; Genetics; Computer science; Statistics; Mathematics","score_opus":0.02032444130516136,"score_gpt":0.29299970695004,"score_spread":0.27267526564487865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096405833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6673938,0.0017874193,0.3292465,0.00029784528,0.00020300702,0.0008253808,0.0000326168,0.000022457074,0.00019097065],"genre_scores_gemma":[0.9970804,0.0005339584,0.0020712563,0.00008531667,0.00012395075,0.000029058681,0.000027072856,0.000026473073,0.000022547563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886394,0.000056213932,0.0002992279,0.00038561798,0.00015247005,0.00024252407],"domain_scores_gemma":[0.9995042,0.00002761456,0.00006529567,0.0001912762,0.000053365537,0.00015821912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017763273,0.00013235872,0.0002079311,0.000049893395,0.000019005185,0.0000113742,0.00015728235,0.00018661677,0.000008750175],"category_scores_gemma":[0.0003051476,0.00013586321,0.00006227931,0.00018579928,0.000065638254,0.0000036614442,0.000121345816,0.00018985377,0.0000015395152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015723422,0.000026216207,0.001025032,0.00008460462,0.000030052624,0.000025208583,0.000060095113,0.0007958164,0.9947142,0.00000757481,0.00022398971,0.0028499896],"study_design_scores_gemma":[0.0012295293,0.00056198664,0.0060506356,0.00010593654,0.000018341432,0.0000046227055,0.00004351069,0.010758691,0.9805976,0.0000059939857,0.00041703365,0.00020609026],"about_ca_topic_score_codex":0.000050007322,"about_ca_topic_score_gemma":0.000031642026,"teacher_disagreement_score":0.32968655,"about_ca_system_score_codex":0.000028180293,"about_ca_system_score_gemma":0.00016526495,"threshold_uncertainty_score":0.5540341},"labels":[],"label_agreement":null},{"id":"W3158945110","doi":"10.1080/21655979.2021.1908029","title":"Analysis of mRNA‑lncRNA and mRNA‑lncRNA-pathway co‑expression networks based on WGCNA in developing pediatric sepsis","year":2021,"lang":"en","type":"article","venue":"Bioengineered","topic":"ATP Synthase and ATPases Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"KEGG; Biology; Gene; Computational biology; Gene expression; Messenger RNA; Regulation of gene expression; Bioinformatics; Genetics; Gene ontology","score_opus":0.014233563479415009,"score_gpt":0.27651572574817795,"score_spread":0.26228216226876294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158945110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898385,0.0018366254,0.007720371,0.00015227261,0.000058733174,0.0001132854,0.00006899669,0.000012097625,0.00019911538],"genre_scores_gemma":[0.99686754,0.0010219035,0.0012168764,0.00014330851,0.00013802807,0.000015231865,0.0004627774,0.000023674615,0.00011067209],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859244,0.00010261419,0.00031202976,0.00043594328,0.00023081567,0.00032618872],"domain_scores_gemma":[0.99924344,0.00007665379,0.00007663485,0.000381964,0.00010545752,0.00011584291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021881337,0.00019222406,0.0003248553,0.00034896375,0.000048688744,0.000024408373,0.00014857034,0.00021494532,0.000047997088],"category_scores_gemma":[0.0001611897,0.00018350781,0.000149699,0.0009849247,0.000036543177,0.0000050778494,0.00009571671,0.00013778341,0.000001875439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021220233,0.00021493416,0.12736444,0.0001448236,0.00036504018,0.000106944695,0.000043833687,0.043634262,0.82437575,0.000031533124,0.0010752241,0.002431012],"study_design_scores_gemma":[0.001301512,0.00018729371,0.061401714,0.00008509491,0.0001753963,0.00000179224,0.00006423767,0.081834316,0.851618,0.0000034102675,0.0028682698,0.00045896368],"about_ca_topic_score_codex":0.000021227032,"about_ca_topic_score_gemma":0.000030227462,"teacher_disagreement_score":0.065962724,"about_ca_system_score_codex":0.000026012658,"about_ca_system_score_gemma":0.00016935392,"threshold_uncertainty_score":0.74832314},"labels":[],"label_agreement":null},{"id":"W3209416847","doi":"10.1080/21655979.2021.1995991","title":"Nanopore sensors for viral particle quantification: current progress and future prospects","year":2021,"lang":"en","type":"review","venue":"Bioengineered","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Nanopore; Nanotechnology; Nanopore sequencing; Microfluidics; Nanosensor; Nanorobotics; Computer science; Computational biology; Materials science; Biology; Genome","score_opus":0.03967150448671007,"score_gpt":0.2970526979013299,"score_spread":0.2573811934146198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209416847","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006509093,0.996106,0.00018212934,0.00004887934,0.0016597882,0.0012892875,0.00028954615,0.00034977947,0.000009478695],"genre_scores_gemma":[0.00022804989,0.9969684,0.0004939858,0.000001403668,0.0008697281,0.00071560877,0.0005428497,0.000106705076,0.000073283096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985738,0.000013689675,0.00047783292,0.00040304245,0.00013935707,0.00039227115],"domain_scores_gemma":[0.99940956,0.00003526011,0.00006828186,0.0003026284,0.00007936028,0.00010489254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008704666,0.00048633042,0.0011408685,0.00008746218,0.0000865828,0.000048889473,0.00011938414,0.0002210428,0.0000078360035],"category_scores_gemma":[0.0000068494764,0.0004104313,0.00029537905,0.00032232955,0.000049558585,0.00005821435,0.00001992347,0.0001865061,0.0000071877844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003380203,0.000055021756,0.0000107487895,0.041750595,0.0004038152,0.000014962352,0.00016472924,0.000016225156,0.0000063543903,0.0018517944,0.0030916708,0.9526307],"study_design_scores_gemma":[0.00021213376,0.000031627653,0.0000060841185,0.002357014,0.00047689537,0.000016005199,0.00002487857,0.00026939216,0.00011979961,0.000008641609,0.9960002,0.00047735867],"about_ca_topic_score_codex":2.9238592e-7,"about_ca_topic_score_gemma":0.0000014211685,"teacher_disagreement_score":0.9929085,"about_ca_system_score_codex":0.00004423637,"about_ca_system_score_gemma":0.000043971075,"threshold_uncertainty_score":0.9998348},"labels":[],"label_agreement":null},{"id":"W4205785900","doi":"10.1080/21655979.2021.2015528","title":"Relationships between plasma expression levels of microRNA-146a and microRNA-132 in epileptic patients and their cognitive, mental and psychological disorders","year":2021,"lang":"en","type":"article","venue":"Bioengineered","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"microRNA; Cognition; Psychology; Expression (computer science); Epilepsy; Clinical psychology; Neuroscience; Biology; Genetics; Gene; Computer science","score_opus":0.025545346161487074,"score_gpt":0.25561356599801655,"score_spread":0.23006821983652948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205785900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753374,0.0015254436,0.000291411,0.00006404884,0.000033491422,0.00020395387,0.0003222846,0.000005573899,0.000020026733],"genre_scores_gemma":[0.998655,0.00019407952,0.00070083,0.000010774705,0.00002018764,0.0000078398125,0.00038247593,0.000013682434,0.000015082689],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992,0.0000920179,0.00020897227,0.00031346662,0.00005194057,0.00013360796],"domain_scores_gemma":[0.99966705,0.00004630753,0.000062041036,0.00010482604,0.00004137755,0.00007840123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081437276,0.0001406586,0.00015250301,0.000053198415,0.0000432079,0.000012614962,0.00003930401,0.00017102913,0.0000075679663],"category_scores_gemma":[0.00011766797,0.00012873963,0.000033844008,0.000074037416,0.00010943554,0.000007802139,0.000095112366,0.00008467257,4.6891896e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051665495,0.00008615918,0.21062538,0.00003305445,0.000027520073,5.394534e-7,0.00013017625,0.0000014376164,0.786978,0.0000049225387,0.000045098455,0.002016065],"study_design_scores_gemma":[0.001543325,0.0000988255,0.7524079,0.000064363216,0.00001514512,0.0000047127014,0.00014518078,0.000036949456,0.24537751,0.00006159158,0.00011160262,0.00013288354],"about_ca_topic_score_codex":0.0000017474123,"about_ca_topic_score_gemma":0.000009341943,"teacher_disagreement_score":0.54178256,"about_ca_system_score_codex":0.000007683493,"about_ca_system_score_gemma":0.000011643508,"threshold_uncertainty_score":0.52498496},"labels":[],"label_agreement":null},{"id":"W4229064833","doi":"10.1080/21655979.2022.2070999","title":"The prevalence and risk factors of posttraumatic cerebral infarction in patients with traumatic brain injury: a systematic review and meta-analysis","year":2022,"lang":"en","type":"review","venue":"Bioengineered","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glasgow Coma Scale; Traumatic brain injury; Internal medicine; Cochrane Library; Meta-analysis; Surgery; Pediatrics; Anesthesia; Psychiatry","score_opus":0.054002524592950074,"score_gpt":0.2982631184305641,"score_spread":0.244260593837614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229064833","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031076726,0.990717,0.000005686446,0.000054828917,0.000023341921,0.0056736786,0.00038565107,0.000026000997,0.0000061563283],"genre_scores_gemma":[0.0029319872,0.9960501,0.00005023183,0.000043402288,0.0000033325857,0.00068488304,0.00011201702,0.00004220937,0.000081814585],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99633545,0.00095127284,0.001443825,0.0004678157,0.00056315714,0.00023846983],"domain_scores_gemma":[0.9966987,0.0012848363,0.0010248829,0.0008404686,0.00004887445,0.0001022728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001133421,0.000536885,0.0059048044,0.00039061252,0.00010835038,0.00003363556,0.00022222524,0.000107314016,0.00010919074],"category_scores_gemma":[0.0008226056,0.00026481017,0.0012634676,0.0013081131,0.0001373771,0.000085923806,0.000057525624,0.00043492587,7.4561854e-7],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013666345,0.00009752924,0.00052119815,0.9209503,0.07692136,7.696051e-7,0.00017426877,5.6295914e-7,5.2518816e-9,0.00001795509,0.000018006564,0.0012844015],"study_design_scores_gemma":[0.0003709779,0.00052179006,0.0075722216,0.03447944,0.9553296,0.000012507457,0.000052996067,0.000013182988,9.5719905e-8,0.0000039897805,0.0013408584,0.00030235216],"about_ca_topic_score_codex":0.000034760564,"about_ca_topic_score_gemma":0.00001408384,"teacher_disagreement_score":0.88647085,"about_ca_system_score_codex":0.00006380671,"about_ca_system_score_gemma":0.00005714045,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W4367281426","doi":"10.1080/21655979.2023.2180583","title":"RETRACTED ARTICLE: Next-generation -omics approaches to drive carboxylate production by acidogenic fermentation of food waste: a review","year":2022,"lang":"en","type":"review","venue":"Bioengineered","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":12,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acidogenesis; Metagenomics; Food waste; Fermentation; Microbial consortium; Biotechnology; Microbial population biology; Biology; Biochemical engineering; Microorganism; Bioproducts; Food science; Anaerobic digestion; Bacteria; Biofuel; Biochemistry; Ecology; Engineering; Gene","score_opus":0.19941657867668539,"score_gpt":0.2614927413686662,"score_spread":0.062076162691980796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367281426","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00069304236,0.9946833,0.00048606045,0.00010469108,0.0013907738,0.002152297,0.0001570084,0.00028320155,0.00004959796],"genre_scores_gemma":[0.0019915604,0.99339896,0.00054135977,0.000019603123,0.00043140876,0.00047092704,0.00288681,0.00009911278,0.00016024278],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979815,0.00010925639,0.00083749444,0.0004870432,0.00032545524,0.0002592845],"domain_scores_gemma":[0.99915826,0.000010345623,0.00022149533,0.00045282638,0.000051230152,0.00010581573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033795976,0.0004269023,0.00088026765,0.00026797873,0.00005779364,0.000033252614,0.00018920506,0.0002500815,0.00006498971],"category_scores_gemma":[0.0001098101,0.00042587557,0.000251449,0.0011626593,0.000019909428,0.00020008312,0.000037780446,0.00040214698,0.000017246903],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000868632,0.00013848698,3.117698e-7,0.022517227,0.0005903567,0.0000010743493,0.00016726466,0.0044236914,0.018734926,0.00057190674,0.02688482,0.92596126],"study_design_scores_gemma":[0.00017516388,0.0002228202,0.000001241103,0.0038719096,0.0011378649,0.000037018475,0.00007332462,0.0012392453,0.0077257804,0.0000056785893,0.98473775,0.00077222276],"about_ca_topic_score_codex":0.000002730817,"about_ca_topic_score_gemma":0.0000019263443,"teacher_disagreement_score":0.9578529,"about_ca_system_score_codex":0.00040573956,"about_ca_system_score_gemma":0.00006493827,"threshold_uncertainty_score":0.9998193},"labels":[],"label_agreement":null},{"id":"W4386346948","doi":"10.1080/21655979.2023.2250950","title":"Adapted feeding strategies in fed-batch fermentation improve sugar delivery and ethanol productivity","year":2023,"lang":"en","type":"article","venue":"Bioengineered","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Biofuel; Sugar; Ethanol fuel; Fermentation; Biomass (ecology); Productivity; Ethanol; Food science; Ethanol fermentation; Biotechnology; Chemistry; Pulp and paper industry; Biochemistry; Agronomy; Biology; Engineering; Economics","score_opus":0.016316748067478973,"score_gpt":0.22129001384666355,"score_spread":0.20497326577918457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386346948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970267,0.0002253814,0.00016136856,0.00042394066,0.0010129929,0.00026935345,0.000011569113,0.0006924414,0.0001762876],"genre_scores_gemma":[0.9991461,0.00025025647,0.00019090246,0.0000075029743,0.00013596722,0.000019540817,0.000037906193,0.000022889239,0.0001889376],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992602,0.000013909837,0.00014810779,0.0002381402,0.000110797315,0.00022884432],"domain_scores_gemma":[0.99977934,0.000011779916,0.000015931226,0.00011772522,0.000026862781,0.000048346545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001565297,0.00014439532,0.00012400003,0.00023541616,0.000036561873,0.000050782313,0.000054588698,0.000102686055,0.000013675904],"category_scores_gemma":[0.000015850315,0.00014832697,0.000022643699,0.00046601635,0.00002572031,0.00030103762,0.000026737196,0.00014380825,0.00003382889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023106306,0.0000137415345,0.00048843207,0.00027433713,0.000019820207,0.0000053140125,0.0004330756,0.0019477624,0.99106914,0.000047731923,0.0009581085,0.0047194036],"study_design_scores_gemma":[0.0021670114,0.00022131733,0.084982656,0.00011392246,0.000035499786,0.000014807132,0.005225415,0.19492441,0.70619506,0.00032809502,0.004787396,0.001004431],"about_ca_topic_score_codex":0.0000421799,"about_ca_topic_score_gemma":0.000010188822,"teacher_disagreement_score":0.28487414,"about_ca_system_score_codex":0.00006439575,"about_ca_system_score_gemma":0.000014670998,"threshold_uncertainty_score":0.6048598},"labels":[],"label_agreement":null},{"id":"W4387729008","doi":"10.1080/21655979.2023.2269328","title":"Engineered yeasts and lignocellulosic biomaterials: shaping a new dimension for biorefinery and global bioeconomy","year":2023,"lang":"en","type":"review","venue":"Bioengineered","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Bundesministerium für Bildung, Wissenschaft und Forschung; Universität Wien","keywords":"Biorefinery; Biochemical engineering; Metabolic engineering; Lignocellulosic biomass; Biotechnology; Bioprocess; Organism; Synthetic biology; Biofuel; Computational biology; Biology; Computer science; Engineering; Biochemistry; Gene; Genetics","score_opus":0.07437694785028329,"score_gpt":0.28323453613260563,"score_spread":0.20885758828232234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387729008","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003547444,0.9940176,0.0006220862,0.00006756653,0.0021468687,0.0011954182,0.0004624736,0.0011166679,0.000016589614],"genre_scores_gemma":[0.00020826781,0.9966636,0.0015098852,0.000011329267,0.00079166045,0.00008804413,0.00039361246,0.00014925256,0.00018437621],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822783,0.000020475483,0.00059303467,0.000609798,0.00010065939,0.0004481806],"domain_scores_gemma":[0.9992359,0.00006363413,0.00009276888,0.00030168175,0.000024549367,0.0002814315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017927097,0.0006671877,0.0011822425,0.00033952564,0.00006133083,0.00013083545,0.00015466903,0.0005745984,0.000016769327],"category_scores_gemma":[0.000033360495,0.0005989694,0.00021663062,0.00038732833,0.000051989355,0.00011029495,0.00010653977,0.00009797359,0.000078076526],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021231446,0.000025075224,0.000003230211,0.09864492,0.0008245442,0.000010598275,0.000049678467,0.000023747794,0.0021752147,0.00024420617,0.028757142,0.86922044],"study_design_scores_gemma":[0.00053953636,0.00006103907,0.0000061195287,0.0032375793,0.00040981386,0.00006651327,0.000011907524,0.0018817239,0.00029143342,0.00004131296,0.99266386,0.0007891313],"about_ca_topic_score_codex":0.000016646563,"about_ca_topic_score_gemma":0.0000013068976,"teacher_disagreement_score":0.96390676,"about_ca_system_score_codex":0.00012688956,"about_ca_system_score_gemma":0.00006320119,"threshold_uncertainty_score":0.9996462},"labels":[],"label_agreement":null}]}