{"meta":{"query_hash":"fa3d79cae34d","filters":{"venue":"Metabolic Engineering Communications"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"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/fa3d79cae34d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Metabolic+Engineering+Communications"},"results":[{"id":"W2792623004","doi":"10.1016/j.meteno.2018.02.001","title":"Biocatalytic production of adipic acid from glucose using engineered Saccharomyces cerevisiae","year":2018,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"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 Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Adipic acid; Chemistry; Muconic acid; Saccharomyces cerevisiae; Fermentation; Levulinic acid; Biochemistry; Organic chemistry; Yeast; Catalysis; Benzene","score_opus":0.017715470437810917,"score_gpt":0.2533849330084942,"score_spread":0.23566946257068327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792623004","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":[0.9637932,0.020019729,0.014727225,0.00013769945,0.00092465436,0.00022419715,0.00004442024,0.00008566964,0.000043164255],"genre_scores_gemma":[0.95704436,0.0016586381,0.039933592,0.000013149654,0.001012772,0.00001882229,0.00020038748,0.000043997446,0.00007425361],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989177,0.00004549352,0.00036958675,0.00033102537,0.000108724045,0.00022747937],"domain_scores_gemma":[0.9978018,0.0000073100537,0.00011948642,0.0018069235,0.00019349597,0.000071017545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023030388,0.0002191241,0.0002699024,0.00016264518,0.0000989222,0.000019048734,0.00058233,0.00012218862,0.00001305572],"category_scores_gemma":[0.00030550605,0.00022917542,0.000103190614,0.00043317463,0.00012954389,0.000016298687,0.00021170241,0.00013971515,0.000012856415],"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":[0.000008429498,0.000054388525,0.00007392199,0.000022169137,0.00012390195,5.4778653e-8,0.00010328318,0.0011464197,0.9961789,0.00018258212,0.00010974409,0.0019962045],"study_design_scores_gemma":[0.00017757088,0.000037731817,0.0020286667,0.000051268544,0.00010966858,0.000011132497,0.000023027224,0.0030370501,0.9347224,0.000008933184,0.059562463,0.00023004225],"about_ca_topic_score_codex":0.00012129192,"about_ca_topic_score_gemma":0.000011301276,"teacher_disagreement_score":0.061456457,"about_ca_system_score_codex":0.00001555959,"about_ca_system_score_gemma":0.000056485707,"threshold_uncertainty_score":0.9345503},"labels":[],"label_agreement":null},{"id":"W2946936700","doi":"10.1016/j.mec.2019.e00089","title":"Impact framework: A python package for writing data analysis workflows to interpret microbial physiology","year":2019,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Genome Canada","keywords":"Workflow; Python (programming language); Computer science; Bottleneck; Visualization; Data science; Software engineering; Interoperability; Automation; Data mining; Programming language; Database; World Wide Web; Engineering","score_opus":0.018301829123826704,"score_gpt":0.3144582303960871,"score_spread":0.2961564012722604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946936700","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":[0.6956756,0.0030607074,0.299424,0.0002919856,0.00043294614,0.0005529624,0.0004345577,0.0000926853,0.000034562876],"genre_scores_gemma":[0.8864292,0.00042250982,0.11061788,0.00009475653,0.0004219713,0.000068701156,0.0017902696,0.000050072314,0.00010466301],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986437,0.000056859746,0.00032779793,0.00054146117,0.00006642946,0.0003637552],"domain_scores_gemma":[0.99545896,0.000050319144,0.000057543482,0.004229416,0.000100228615,0.00010355894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004292565,0.00023879105,0.0003912617,0.00024583252,0.00008230454,0.0000495272,0.0014365742,0.00016676303,0.00002237901],"category_scores_gemma":[0.00050498394,0.0002392577,0.00023268191,0.0007017751,0.000024896513,0.000013541513,0.0008145106,0.00021884422,0.000026168056],"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":[0.00002359742,0.00005266455,0.00038376544,0.000018577657,0.000643628,3.5300577e-8,0.00009533602,0.010639477,0.98538554,0.0003267794,0.00045135312,0.0019792526],"study_design_scores_gemma":[0.0012145536,0.00034389048,0.060815606,0.00019100346,0.0017729546,0.000025484751,0.000110469184,0.045591082,0.20263445,0.00006127765,0.6853538,0.0018854068],"about_ca_topic_score_codex":0.00003974957,"about_ca_topic_score_gemma":0.00001807709,"teacher_disagreement_score":0.7827511,"about_ca_system_score_codex":0.00001642885,"about_ca_system_score_gemma":0.000036728692,"threshold_uncertainty_score":0.97566456},"labels":[],"label_agreement":null},{"id":"W3028671482","doi":"10.1016/j.mec.2020.e00134","title":"Metabolically engineered recombinant Saccharomyces cerevisiae for the production of 2-Deoxy-scyllo-inosose (2-DOI)","year":2020,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":6,"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 Toronto","funders":"King Abdulaziz City for Science and Technology; Grand Challenges Canada; King Abdullah University of Science and Technology","keywords":"Saccharomyces cerevisiae; Recombinant DNA; Production (economics); Cell biology; Computational biology; Chemistry; Biology; Yeast; Biochemistry; Gene; Economics","score_opus":0.030719255934061815,"score_gpt":0.23616933427489836,"score_spread":0.20545007834083656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028671482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090599716,0.2738021,0.42027295,0.17714316,0.0175529,0.010995301,0.00037517946,0.0077972542,0.0014614331],"genre_scores_gemma":[0.9697022,0.00849927,0.020852992,0.000117275646,0.0003746795,0.00023313929,0.00004277135,0.00006986258,0.00010781897],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987869,0.000040993546,0.00049482106,0.00024051065,0.00016878732,0.00026795498],"domain_scores_gemma":[0.9981492,0.00021235274,0.00008312327,0.001285557,0.00015208297,0.0001176402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034945598,0.00025092415,0.00038115933,0.00011377179,0.00015621108,0.000034260018,0.0009601886,0.00009863351,0.00003348073],"category_scores_gemma":[0.00043915585,0.00020334449,0.00019867474,0.00063411694,0.00007799975,0.00017730755,0.00014284565,0.00035493704,0.00002098026],"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":[0.000087529144,0.00035668895,0.00015553152,0.0023668422,0.0016586139,5.3537804e-7,0.0039843046,0.15968464,0.68265736,0.03858552,0.033547893,0.07691452],"study_design_scores_gemma":[0.0003052711,0.000029540659,0.0014019646,0.00003692125,0.00020503903,0.0000043509185,0.00011526185,0.15867616,0.044786863,0.000025907086,0.79413337,0.00027934992],"about_ca_topic_score_codex":0.000012176808,"about_ca_topic_score_gemma":0.0000014539957,"teacher_disagreement_score":0.87910247,"about_ca_system_score_codex":0.00002183374,"about_ca_system_score_gemma":0.000024230241,"threshold_uncertainty_score":0.82921475},"labels":[],"label_agreement":null},{"id":"W3144720249","doi":"10.1016/j.mec.2021.e00171","title":"Co-expressing Eranthis hyemalis lysophosphatidic acid acyltransferase 2 and elongase improves two very long chain polyunsaturated fatty acid production in Brassica carinata","year":2021,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"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 Saskatchewan; National Research Council Canada; Saskatchewan Research Council (Canada)","funders":"National Research Council Canada","keywords":"Biochemistry; Polyunsaturated fatty acid; Brassica carinata; Food science; Fatty acid; Linoleic acid; Brassica; Biology; Cottonseed; Linolenic acid; Palmitic acid; Canola; Blowing a raspberry; alpha-Linolenic acid; Docosahexaenoic acid; Chemistry; Botany","score_opus":0.010132957229870997,"score_gpt":0.2482372210324288,"score_spread":0.23810426380255778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144720249","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":[0.9510515,0.046326734,0.0014294205,0.00055697554,0.00023159011,0.0002209408,0.00006250473,0.000060681272,0.000059672082],"genre_scores_gemma":[0.9841299,0.0062928353,0.008644355,0.000076626915,0.0001977919,0.00007468829,0.00048773916,0.00004381267,0.000052229214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99850696,0.000189158,0.00037364842,0.0004584336,0.00013976733,0.0003320521],"domain_scores_gemma":[0.99813074,0.00003820396,0.00007172959,0.0015289492,0.00011090037,0.00011949764],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035328133,0.0002724221,0.00034563494,0.00013922364,0.00022576159,0.00009262871,0.0004292027,0.00014183273,0.000005165844],"category_scores_gemma":[0.00040447168,0.00028225573,0.00008358626,0.00040680214,0.00012226368,0.000042951993,0.00019508695,0.00029108496,0.0000019022015],"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":[0.000018009225,0.000120274395,0.0014089321,0.000045430636,0.00007474014,0.000004038415,0.00025642384,0.00006153147,0.98458433,0.0000838148,0.000015453494,0.013326991],"study_design_scores_gemma":[0.0005116278,0.000010124893,0.026198015,0.000060529084,0.00006843637,0.000024596397,0.00009387264,0.00040739548,0.9649722,0.000002844203,0.007355369,0.00029499715],"about_ca_topic_score_codex":0.00009061137,"about_ca_topic_score_gemma":0.00020774649,"teacher_disagreement_score":0.0400339,"about_ca_system_score_codex":0.000018263268,"about_ca_system_score_gemma":0.00013611346,"threshold_uncertainty_score":0.999963},"labels":[],"label_agreement":null},{"id":"W4306254899","doi":"10.1016/j.mec.2022.e00209","title":"Metabolomics and modelling approaches for systems metabolic engineering","year":2022,"lang":"en","type":"review","venue":"Metabolic Engineering Communications","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"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":"Agence Nationale de la Recherche","keywords":"Metabolomics; Systems biology; Computer science; Metabolic engineering; Workflow; Computational biology; Biochemical engineering; Biological system; Biology; Bioinformatics; Engineering; Biochemistry","score_opus":0.0970620560929107,"score_gpt":0.27811896473503245,"score_spread":0.18105690864212176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306254899","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":[0.00003802596,0.921535,0.075695165,0.000018439177,0.00090972905,0.001314679,0.00031048685,0.00014953552,0.00002894671],"genre_scores_gemma":[0.00017771727,0.96123433,0.03345365,0.0000071060167,0.0008273622,0.0021577936,0.0016116899,0.00026405574,0.00026631056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974811,0.00014092383,0.0008621501,0.000793206,0.00017244476,0.0005501715],"domain_scores_gemma":[0.9970141,0.00009286497,0.0002970742,0.0023670562,0.000063222826,0.00016565005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009102368,0.00076895393,0.001697201,0.00045237664,0.0002871791,0.00012739646,0.0011913116,0.00040347443,0.0000036044012],"category_scores_gemma":[0.0002539586,0.0007910336,0.00054386654,0.00051682227,0.000058196765,0.000016787924,0.00074286794,0.00065932027,0.0000027725262],"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":[0.000013518936,0.00022219488,8.890736e-7,0.012169266,0.0031004979,7.8897097e-7,0.00016618035,0.47371352,0.002356267,0.045097757,0.00036523433,0.4627939],"study_design_scores_gemma":[0.00018267204,0.000021900152,6.556845e-7,0.000269991,0.0013220407,0.00008177284,0.000016956094,0.05516853,0.0000650175,0.000002372702,0.9421509,0.000717196],"about_ca_topic_score_codex":0.000029558712,"about_ca_topic_score_gemma":0.0000012361771,"teacher_disagreement_score":0.94178563,"about_ca_system_score_codex":0.000035532765,"about_ca_system_score_gemma":0.00013456633,"threshold_uncertainty_score":0.9994541},"labels":[],"label_agreement":null},{"id":"W4311271708","doi":"10.1016/j.mec.2022.e00215","title":"Improved protein glycosylation enabled heterologous biosynthesis of monoterpenoid indole alkaloids and their unnatural derivatives in yeast","year":2022,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Alkaloids: synthesis and pharmacology","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":18,"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 Calgary; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Biosynthesis; Biochemistry; Catharanthus roseus; Biology; Heterologous expression; Yeast; Saccharomyces cerevisiae; Indole alkaloid; Heterologous; Indole test; Chemistry; Gene; Recombinant DNA","score_opus":0.04902469621891507,"score_gpt":0.33613621933557314,"score_spread":0.28711152311665805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311271708","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":[0.990662,0.0068785567,0.00049118744,0.0007567205,0.0001851921,0.000677244,0.00012541123,0.00008030405,0.00014340691],"genre_scores_gemma":[0.9968192,0.00059034483,0.0016146309,0.00018092159,0.00003609932,0.0006317412,0.000046035042,0.000034481214,0.000046568737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979384,0.0008842107,0.00050468376,0.00024902174,0.00008211898,0.00034158595],"domain_scores_gemma":[0.9985683,0.0005511909,0.00020595372,0.00053313386,0.00005105554,0.000090351794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092556135,0.00024032807,0.0004361137,0.00035960617,0.0003079718,0.000012565245,0.0007333894,0.00014542055,0.00022495408],"category_scores_gemma":[0.00015209668,0.00023947857,0.00008495954,0.0004849839,0.00017707628,0.00012181613,0.0006059633,0.0009459868,0.0000024146548],"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":[0.00013906075,0.0003193861,0.0018061734,0.000032867123,0.00017837952,0.0000010920083,0.0025391416,0.004069005,0.9771479,0.0017735157,0.000013912132,0.011979616],"study_design_scores_gemma":[0.0027873775,0.00023273537,0.044163223,0.000028979404,0.00016961107,0.000035279,0.00087931775,0.24250571,0.61944616,0.0004058426,0.08863643,0.00070933613],"about_ca_topic_score_codex":0.00013600865,"about_ca_topic_score_gemma":0.000034549255,"teacher_disagreement_score":0.3577017,"about_ca_system_score_codex":0.00006699302,"about_ca_system_score_gemma":0.000056453933,"threshold_uncertainty_score":0.97656524},"labels":[],"label_agreement":null},{"id":"W4404869336","doi":"10.1016/j.mec.2024.e00254","title":"From plastic waste to bioprocesses: Using ethylene glycol from polyethylene terephthalate biodegradation to fuel Escherichia coli metabolism and produce value-added compounds","year":2024,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"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":"Fundação para a Ciência e a Tecnologia; Cumming School of Medicine, University of Calgary","keywords":"Biodegradation; Ethylene glycol; Polyethylene terephthalate; Escherichia coli; Polyethylene glycol; Ethylene; Chemistry; PEG ratio; Polyethylene; Waste management; Materials science; Organic chemistry; Biochemistry; Business; Engineering; Catalysis","score_opus":0.015040511958616854,"score_gpt":0.2587041021669708,"score_spread":0.24366359020835396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404869336","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":[0.9230011,0.031031983,0.042899746,0.0008934577,0.0011030167,0.0004891941,0.0003522126,0.00020241915,0.000026885871],"genre_scores_gemma":[0.9202682,0.0013207608,0.07631615,0.000116537885,0.001166735,0.00011765467,0.00046647553,0.00009606334,0.0001314725],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99812925,0.00008360324,0.0004566497,0.0007761663,0.00018459457,0.00036973704],"domain_scores_gemma":[0.99800605,0.000052325842,0.00006550651,0.0015004881,0.00012664348,0.00024897465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002880578,0.00040511705,0.0004061531,0.00030562884,0.000151012,0.000214314,0.00061421416,0.00018112476,0.000010216615],"category_scores_gemma":[0.000347922,0.00041873055,0.000090425405,0.0008703809,0.000053127726,0.00003515921,0.000494745,0.00028955744,0.000030467048],"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":[0.00002272503,0.000049625636,0.000021398077,0.000054189768,0.00022053956,7.013361e-7,0.0005422097,0.0094372,0.98778343,0.00022308048,0.00014364738,0.0015012621],"study_design_scores_gemma":[0.0003383208,0.000052114858,0.0025548984,0.00021426097,0.000340117,0.000011985175,0.0001186515,0.016220411,0.76534283,0.00006823908,0.21403323,0.0007049653],"about_ca_topic_score_codex":0.0009467547,"about_ca_topic_score_gemma":0.00003438604,"teacher_disagreement_score":0.22244062,"about_ca_system_score_codex":0.00003365808,"about_ca_system_score_gemma":0.00009114307,"threshold_uncertainty_score":0.99982643},"labels":[],"label_agreement":null},{"id":"W4405337259","doi":"10.1016/j.mec.2024.e00253","title":"Co-consumption for plastics upcycling: A perspective","year":2024,"lang":"en","type":"article","venue":"Metabolic Engineering Communications","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":6,"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 Waterloo","funders":"","keywords":"Perspective (graphical); Consumption (sociology); Nanotechnology; Computer science; Biochemical engineering; Engineering; Materials science; Artificial intelligence; Sociology","score_opus":0.0246335924473209,"score_gpt":0.290681207997424,"score_spread":0.2660476155501031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405337259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036780342,0.0042127105,0.9532142,0.00064215524,0.00071986136,0.0004163005,0.00024625307,0.0003958147,0.0033723044],"genre_scores_gemma":[0.961272,0.00053187733,0.037671905,0.000023567745,0.000074772724,0.00009201351,0.000043926862,0.00002543077,0.00026451302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939847,0.000016287662,0.00015458728,0.00016470058,0.0000899895,0.00017594764],"domain_scores_gemma":[0.99901134,0.00046295836,0.000020786674,0.000432569,0.000011278382,0.00006108994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018085635,0.00010647853,0.000101478785,0.00007269711,0.0001422462,0.00006168702,0.00029408128,0.00004172512,0.00014441645],"category_scores_gemma":[0.00020987948,0.00010737885,0.00006187543,0.00017003008,0.00006989432,0.0000904359,0.000074679556,0.00015770353,0.0004092353],"study_design_candidate":"theoretical_or_conceptual","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":[0.000021960599,0.0002354282,0.001852244,0.00014124151,0.00028597566,0.0000027191,0.0036702435,0.1121845,0.15659335,0.7020093,0.010803916,0.012199066],"study_design_scores_gemma":[0.00011929794,0.000014435428,0.007824021,0.000033474716,0.000078274425,0.0000089507785,0.000025759382,0.5142508,0.0010976819,0.00059823284,0.47577932,0.00016972826],"about_ca_topic_score_codex":0.00005232226,"about_ca_topic_score_gemma":0.000025509336,"teacher_disagreement_score":0.92449164,"about_ca_system_score_codex":0.0001158665,"about_ca_system_score_gemma":0.000014996325,"threshold_uncertainty_score":0.5260029},"labels":[],"label_agreement":null}]}