{"meta":{"query_hash":"4d352f8e8d21","filters":{"venue":"Natural computing series"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/4d352f8e8d21","api":"https://metacan.xera.ac/api/v1/cohort?venue=Natural+computing+series"},"results":[{"id":"W133409354","doi":"10.1007/978-3-642-37959-8_8","title":"Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units","year":2013,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Particle swarm optimization; Memetic algorithm; Graphics; Scheduling (production processes); Multi-swarm optimization; Mathematical optimization; Computer graphics (images); Parallel computing; Artificial intelligence; Algorithm; Local search (optimization); Mathematics","score_opus":0.0388667624364467,"score_gpt":0.27135341513722666,"score_spread":0.23248665270077995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W133409354","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016899767,0.0015057132,0.9901532,0.00044206146,0.0005964324,0.0008117368,0.0000056906606,0.00063283043,0.0041623525],"genre_scores_gemma":[0.14976902,0.00006136324,0.83424926,0.00025151088,0.0002724954,0.0000056355093,0.000049611717,0.00011817411,0.0152229015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968225,0.000102643324,0.0004948423,0.0008615092,0.001152271,0.00056624244],"domain_scores_gemma":[0.9967406,0.00030848308,0.00049704895,0.00062356744,0.0016554228,0.0001749241],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00037962693,0.00055159704,0.00050154526,0.00038195553,0.0007543969,0.001112625,0.00090382976,0.00029072035,0.000022571467],"category_scores_gemma":[0.00041929036,0.0004567578,0.00007203997,0.0006754223,0.00022812054,0.00079183746,0.00042566497,0.0012075108,0.000018809502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003835326,0.000019470672,0.000017872066,0.00015148162,0.00006941869,0.000032329845,0.00036754893,0.9367361,0.000021620785,0.04830033,0.000055423243,0.014190051],"study_design_scores_gemma":[0.00036469483,0.00015133737,0.000023629918,0.0006820313,0.00003219453,0.000077638164,0.000025377312,0.9968045,0.0004095266,0.0005080896,0.00036082248,0.00056018936],"about_ca_topic_score_codex":0.000023491613,"about_ca_topic_score_gemma":0.000008010799,"teacher_disagreement_score":0.15590392,"about_ca_system_score_codex":0.00013135147,"about_ca_system_score_gemma":0.0003431942,"threshold_uncertainty_score":0.9999243},"labels":[],"label_agreement":null},{"id":"W1484657058","doi":"10.1007/978-3-540-72877-1_16","title":"The Evolution of Artistic Filters","year":2007,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Art; Aesthetics","score_opus":0.013117592724235103,"score_gpt":0.24435328307217408,"score_spread":0.23123569034793898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484657058","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016633203,0.014786818,0.7378487,0.0020678868,0.0030433538,0.0005914783,0.00002842773,0.0005077607,0.24095921],"genre_scores_gemma":[0.34986624,0.00023139891,0.16129668,0.00018130029,0.0012033762,0.0000073730635,0.0000584111,0.000065860506,0.48708934],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871093,0.000014360048,0.00038234133,0.0003113128,0.00034738984,0.00023364759],"domain_scores_gemma":[0.99852586,0.00032372292,0.00033514056,0.0005303809,0.00024371181,0.00004117984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746342,0.00019973291,0.00019532951,0.000085811946,0.00051659957,0.00007391286,0.00084193965,0.00013393753,0.00000415367],"category_scores_gemma":[0.000035222558,0.00015182493,0.00012240169,0.00010713408,0.00026346682,0.00015702586,0.00032634762,0.00036601326,0.000021693671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003733723,0.0000037074683,0.0000029859727,0.00001269816,0.000019839312,0.0000022287347,0.00004623917,0.000065787506,0.000025425614,0.971278,0.0014830782,0.02705628],"study_design_scores_gemma":[0.00026796822,0.00021942142,0.0023484542,0.00041357081,0.000050493596,0.00021218519,0.00007687244,0.084307216,0.00017116542,0.5109128,0.40010315,0.0009167329],"about_ca_topic_score_codex":0.000017111306,"about_ca_topic_score_gemma":0.00002543352,"teacher_disagreement_score":0.57655203,"about_ca_system_score_codex":0.00016500092,"about_ca_system_score_gemma":0.000108598586,"threshold_uncertainty_score":0.6191241},"labels":[],"label_agreement":null},{"id":"W1485745767","doi":"10.1007/978-3-540-74111-4_5","title":"Dancing with Swarms: Utilizing Swarm Intelligence to Build, Investigate, and Control Complex Systems","year":2008,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Blueprint; Computer science; Massively parallel; Agency (philosophy); Control (management); Plan (archaeology); Cognitive science; Biological organism; Distributed computing; Human–computer interaction; Artificial intelligence; Communication; Engineering; Biology; Psychology; Sociology; Biochemical engineering; Biological materials","score_opus":0.02829853780170615,"score_gpt":0.20875145964123143,"score_spread":0.18045292183952527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485745767","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":[0.9773136,0.011834221,0.000030794603,0.0014606772,0.00047198837,0.0010216519,0.00014800113,0.000490049,0.0072290115],"genre_scores_gemma":[0.99223346,0.00071718695,0.00033338394,0.0008893676,0.00053553557,0.000005695978,0.00011472851,0.0000045813754,0.0051660636],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803543,0.000055887806,0.00040012697,0.0007231055,0.00024233277,0.00054312946],"domain_scores_gemma":[0.9988464,0.0004828874,0.00025723493,0.0000743067,0.00018182048,0.00015734228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013270578,0.0005597949,0.0008518233,0.00003127831,0.0007445378,0.000093826726,0.00033666156,0.0003047633,0.000007823483],"category_scores_gemma":[0.000063939915,0.00020024508,0.00008964828,0.00011266442,0.00054553436,0.00008348852,0.0002529462,0.0006552767,0.000015345759],"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":[0.0048411926,0.00014679201,0.007101903,0.00079162366,0.002461657,0.0012139676,0.0019664369,0.0011493632,0.690731,0.08121297,0.014996917,0.1933862],"study_design_scores_gemma":[0.0017933893,0.027036091,0.11917751,0.00891365,0.0008931195,0.0067938752,0.0035722686,0.0048284465,0.0113270115,0.02023245,0.7799284,0.015503813],"about_ca_topic_score_codex":0.00012448677,"about_ca_topic_score_gemma":0.00025240038,"teacher_disagreement_score":0.76493144,"about_ca_system_score_codex":0.00004566027,"about_ca_system_score_gemma":0.0000146649645,"threshold_uncertainty_score":0.81657577},"labels":[],"label_agreement":null},{"id":"W1495745209","doi":"10.1007/3-540-30296-4_8","title":"Involution Solid Codes","year":2006,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Involution (esoterism); Biology; Neuroscience","score_opus":0.01031791125276476,"score_gpt":0.23907608188667503,"score_spread":0.22875817063391027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495745209","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19895819,0.023939177,0.0015656442,0.00045180993,0.003949917,0.0008228068,0.00012464172,0.0005557315,0.7696321],"genre_scores_gemma":[0.7773832,0.00008322541,0.0011461677,0.00028144178,0.0018770188,8.3548275e-7,0.0011665837,0.000043438245,0.21801808],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855596,0.000029661027,0.00034879305,0.0005567047,0.00017393574,0.0003349413],"domain_scores_gemma":[0.99925524,0.000022891227,0.00024592452,0.00026510822,0.00016072666,0.000050113187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014508689,0.00039980863,0.0003532481,0.00004958143,0.00023330342,0.000062607534,0.000278301,0.0006095439,0.000013384805],"category_scores_gemma":[0.000046547666,0.00033582863,0.00022293955,0.000024919795,0.00019770702,0.0000037687148,0.00038981444,0.0004425611,0.000025296218],"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":[0.001050882,0.0001628069,0.001982882,0.0006479119,0.00096114306,0.00018770066,0.00011350051,0.0024133387,0.5011631,0.10547504,0.26703814,0.11880351],"study_design_scores_gemma":[0.000510405,0.00095719076,0.0017628098,0.0003733935,0.00008925283,0.00017892424,0.000016080581,0.000690124,0.02584106,0.007436658,0.9603247,0.0018193999],"about_ca_topic_score_codex":0.000010328406,"about_ca_topic_score_gemma":0.000025959573,"teacher_disagreement_score":0.69328654,"about_ca_system_score_codex":0.000031313917,"about_ca_system_score_gemma":0.00004621946,"threshold_uncertainty_score":0.9999094},"labels":[],"label_agreement":null},{"id":"W1555195560","doi":"10.1007/3-540-30296-4_7","title":"Finding MFE Structures Formed by Nucleic Acid Strands in a Combinatorial Set","year":2006,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Combinatorial analysis; Combinatorics; Constant (computer programming); Energy (signal processing); Combinatorial algorithms; Combinatorial optimization; Algorithm; Mathematics; Computer science; Discrete mathematics","score_opus":0.008418035937654922,"score_gpt":0.23145417497431822,"score_spread":0.2230361390366633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555195560","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":[0.849294,0.023600737,0.0007219214,0.0004067699,0.009664506,0.0022612885,0.00078318827,0.00029584876,0.11297175],"genre_scores_gemma":[0.9754614,0.00006186284,0.0005760953,0.00008078951,0.0007301011,0.0000037396344,0.0010304609,0.00007967647,0.021975826],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983756,0.000040756233,0.00040094822,0.0005341394,0.0002623219,0.0003862172],"domain_scores_gemma":[0.9993174,0.000025478255,0.00025311,0.00028609423,0.00006419363,0.000053713673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016977778,0.00046608652,0.00044650483,0.000090886206,0.00016591517,0.00008865365,0.00034103438,0.00078733335,0.000036014768],"category_scores_gemma":[0.000042932006,0.00044489198,0.0001790823,0.00003361033,0.000093337636,0.000008924844,0.00016784412,0.00048059216,0.0000042822203],"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":[0.0008389607,0.000026703548,0.000097946795,0.00027531752,0.00024178268,0.000051643772,0.00018876173,0.000049002894,0.91388863,0.047387175,0.023150474,0.0138035705],"study_design_scores_gemma":[0.0026081605,0.0009121118,0.00021577881,0.000520153,0.00008785503,0.00010965774,0.00006745714,0.00006112276,0.7177218,0.07615939,0.19937003,0.0021664796],"about_ca_topic_score_codex":0.000021258467,"about_ca_topic_score_gemma":0.00003730632,"teacher_disagreement_score":0.19616684,"about_ca_system_score_codex":0.00004566192,"about_ca_system_score_gemma":0.00006488669,"threshold_uncertainty_score":0.99980026},"labels":[],"label_agreement":null},{"id":"W157287150","doi":"10.1007/978-3-642-17310-3_10","title":"CGP, Creativity and Art","year":2011,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Creativity; Art; Psychology; Social psychology","score_opus":0.01912513186165917,"score_gpt":0.22582263030267158,"score_spread":0.2066974984410124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W157287150","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015582909,0.008112939,0.009701681,0.0012835019,0.0019746977,0.00024112851,0.0000059295357,0.0013143675,0.9758075],"genre_scores_gemma":[0.22939661,0.0003549311,0.01873746,0.00048014437,0.00025137028,0.0000022639274,0.000007905172,0.000030329089,0.750739],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988296,0.000017806387,0.00021394415,0.000524413,0.00016398622,0.0002502579],"domain_scores_gemma":[0.9991213,0.00011812012,0.0001713974,0.00045677694,0.00009224552,0.000040160572],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015815102,0.00032947212,0.0004287485,0.000113691305,0.00038408936,0.00009175062,0.0005484291,0.00034909934,0.000021411712],"category_scores_gemma":[0.000043939257,0.00028286918,0.00008162677,0.000039693827,0.0004124649,0.00023401831,0.0010511327,0.0007578434,0.00005644927],"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":[0.0000059501863,0.0000036202898,0.00006483501,0.000029222805,0.000067182125,0.000029129409,0.00077224214,1.03268334e-7,0.0000031944453,0.9576532,0.0060019917,0.03536928],"study_design_scores_gemma":[0.00015713656,0.00014854143,0.0014151772,0.00019256644,0.000029076939,0.00019327429,0.000012936767,0.00018277163,0.0000514057,0.40562448,0.5913367,0.00065588136],"about_ca_topic_score_codex":0.000005872759,"about_ca_topic_score_gemma":0.000030223362,"teacher_disagreement_score":0.5853348,"about_ca_system_score_codex":0.000023923165,"about_ca_system_score_gemma":0.000029106246,"threshold_uncertainty_score":0.99996233},"labels":[],"label_agreement":null},{"id":"W1635873948","doi":"10.1007/978-3-540-74111-4_1","title":"Evolutionary Design in Biology","year":2008,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scope (computer science); Computer science; Data science; Modelling biological systems; Systems biology; Function (biology); Biology; Computational biology; Management science; Evolutionary biology; Engineering","score_opus":0.021813327264720194,"score_gpt":0.25701447610256356,"score_spread":0.23520114883784338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635873948","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022553069,0.04601665,0.7463095,0.0060473336,0.0038652113,0.0016132287,0.00004794017,0.0018245437,0.19405004],"genre_scores_gemma":[0.064258836,0.0013121776,0.75414014,0.00052408065,0.0009592345,0.000022100554,0.00017045405,0.00006904655,0.17854391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842405,0.000047789974,0.00039020713,0.0006227621,0.00019187431,0.00032329513],"domain_scores_gemma":[0.99891984,0.00022420124,0.00019021261,0.00047661012,0.0001348366,0.000054301527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014407795,0.00031261903,0.00033344398,0.00024163359,0.00030858067,0.000037306814,0.0009051001,0.00030647352,0.000013780659],"category_scores_gemma":[0.000023225128,0.0003092068,0.00010962717,0.00014718292,0.00020471055,0.00028910796,0.00046638073,0.0007127036,0.00009734387],"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":[0.000007444693,0.000020651534,0.000027402859,0.000011756144,0.000023163344,0.000043683944,0.0001766923,0.0007084749,0.000032851687,0.96884924,0.011312628,0.01878602],"study_design_scores_gemma":[0.0005170948,0.0002639253,0.003473737,0.00028956844,0.000012534996,0.0010342058,0.000009451284,0.13527486,0.000046775924,0.37143844,0.48614314,0.0014962781],"about_ca_topic_score_codex":0.000015196051,"about_ca_topic_score_gemma":0.0000046869127,"teacher_disagreement_score":0.5974108,"about_ca_system_score_codex":0.00017993558,"about_ca_system_score_gemma":0.00019628069,"threshold_uncertainty_score":0.999936},"labels":[],"label_agreement":null},{"id":"W1635909773","doi":"10.1007/978-3-540-88869-7_8","title":"Template-Guided Recombination: From Theory to Laboratory","year":2009,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Western University","funders":"","keywords":"Recombination; Computational biology; Computer science; Biology; Genetics","score_opus":0.013415699200183154,"score_gpt":0.25141423886541114,"score_spread":0.237998539665228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1635909773","genre_codex":"other","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":[0.45218918,0.02445128,0.0024986914,0.0034751073,0.0092521375,0.0021463078,0.0005355712,0.0010801647,0.5043716],"genre_scores_gemma":[0.67833525,0.00014492402,0.013158561,0.0053906073,0.0036371367,0.000003111626,0.0020111608,0.00011542319,0.2972038],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829435,0.0000782212,0.00039911724,0.0007240069,0.00019441085,0.0003098941],"domain_scores_gemma":[0.9989394,0.00006878583,0.00021913706,0.00038923253,0.00027512765,0.000108317974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030040584,0.00043780982,0.0003943291,0.00006616674,0.00021534238,0.000084751395,0.00042361737,0.000609174,0.00006279143],"category_scores_gemma":[0.00017051653,0.00037696504,0.00017070246,0.000051865612,0.00008611123,0.0000054963502,0.00035945253,0.00047171328,0.000066317414],"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":[0.0011870752,0.00010172468,0.0002765572,0.00011025617,0.00084427954,0.00016558777,0.0003133757,0.00022721142,0.23529768,0.082379535,0.09717264,0.5819241],"study_design_scores_gemma":[0.00036943294,0.0007502059,0.0008739221,0.00025350356,0.000047714682,0.000023830586,0.000023317525,0.000019720765,0.019053508,0.026770843,0.9507327,0.0010813236],"about_ca_topic_score_codex":0.0000040767227,"about_ca_topic_score_gemma":0.000007824111,"teacher_disagreement_score":0.85356003,"about_ca_system_score_codex":0.000037210313,"about_ca_system_score_gemma":0.000065701104,"threshold_uncertainty_score":0.9998682},"labels":[],"label_agreement":null},{"id":"W1659314571","doi":"10.1007/978-3-540-74111-4_8","title":"Evolutionary Exploration of Complex Fractals","year":2008,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Dimension (graph theory); Degree (music); Cover (algebra); Mathematics; Square (algebra); Line (geometry); Sequence (biology); Object (grammar); Power (physics); Combinatorics; Geometry; Computer science; Artificial intelligence; Physics; Engineering","score_opus":0.06081166465240963,"score_gpt":0.22749715294895081,"score_spread":0.16668548829654117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1659314571","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026276077,0.046095744,0.0015327325,0.0008202622,0.0018719964,0.0005972551,0.00072216464,0.0002468733,0.94548535],"genre_scores_gemma":[0.7176385,0.0007885562,0.0025123684,0.00006988431,0.0005655388,0.0000024831218,0.0005159641,0.00007254838,0.27783415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978895,0.000010757159,0.0012518349,0.00049878936,0.000113379174,0.00023574258],"domain_scores_gemma":[0.9978267,0.00006766785,0.0014334754,0.0004320616,0.0001882216,0.000051861676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016185913,0.00035441338,0.0011260909,0.000371698,0.0002552329,0.000042309533,0.00028250326,0.00025445584,0.0010757163],"category_scores_gemma":[0.0000447806,0.0004078161,0.00044710486,0.000110657435,0.00018548891,0.0004569008,0.00017686238,0.0003599339,0.00030004617],"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":[0.000048762016,0.00002470302,0.0002909332,0.00019612917,0.0004702566,0.000014500124,0.0006603509,0.00038050738,0.00002139238,0.9730093,0.022699231,0.0021839256],"study_design_scores_gemma":[0.0002482392,0.00012781614,0.002411372,0.00016979637,0.00002989848,0.000049473736,0.00006305981,0.004131476,0.000010448312,0.06138742,0.93065774,0.0007132597],"about_ca_topic_score_codex":0.00019624371,"about_ca_topic_score_gemma":0.000032669457,"teacher_disagreement_score":0.91162187,"about_ca_system_score_codex":0.000118297256,"about_ca_system_score_gemma":0.000029325947,"threshold_uncertainty_score":0.99983746},"labels":[],"label_agreement":null},{"id":"W3190487368","doi":"10.1007/978-981-13-1687-6_9","title":"Reservoir Computing in MEMS","year":2021,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Reservoir computing; Microelectromechanical systems; Nonlinear system; Microscale chemistry; Multiplexing; Computer science; Binary number; Coupling (piping); Beam (structure); Electronic engineering; Engineering; Physics; Mathematics; Mechanical engineering; Structural engineering; Artificial intelligence; Telecommunications; Optoelectronics; Artificial neural network; Arithmetic","score_opus":0.018564622637338,"score_gpt":0.24767996914197618,"score_spread":0.2291153465046382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190487368","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058855608,0.09588161,0.04630394,0.0156241255,0.042221736,0.0034512025,0.00002854844,0.006393375,0.73123986],"genre_scores_gemma":[0.6330174,0.00047208287,0.060197007,0.0015291495,0.0040051634,0.000002957759,0.00013526274,0.00028579944,0.30035517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948235,0.0001346164,0.0012277844,0.0016928186,0.00096498727,0.0011562553],"domain_scores_gemma":[0.99677056,0.00062127016,0.0006672356,0.0013452059,0.0003974256,0.00019827689],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007676406,0.0009444751,0.0012458308,0.00045076007,0.00057127164,0.00088041864,0.0026795885,0.00063096767,0.000028698973],"category_scores_gemma":[0.00011687289,0.0008974424,0.00045380244,0.00050854374,0.00017896836,0.00062001176,0.0041708867,0.0030512789,0.000045312878],"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":[0.00006482074,0.0000885082,0.00043956653,0.00072319206,0.00031043182,0.0048364433,0.0015615625,0.03740659,0.00032897832,0.8042334,0.010491888,0.13951465],"study_design_scores_gemma":[0.0021430363,0.00050421717,0.001953486,0.011072135,0.000070649905,0.0019857283,0.00015179258,0.65781814,0.00080377073,0.049704365,0.26745006,0.006342617],"about_ca_topic_score_codex":0.000046742596,"about_ca_topic_score_gemma":0.0001580544,"teacher_disagreement_score":0.754529,"about_ca_system_score_codex":0.00025622014,"about_ca_system_score_gemma":0.00024967457,"threshold_uncertainty_score":0.9993476},"labels":[],"label_agreement":null},{"id":"W4384913059","doi":"10.1007/978-981-19-9948-2_9","title":"Intelligent Software Maintenance","year":2023,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Polytechnique Montréal","funders":"","keywords":"Computer science; Software development; Software maintenance; Software engineering; Software construction; Software system; Software; Leverage (statistics); Context (archaeology); Artificial intelligence; Software analytics; Programming language","score_opus":0.023219877670793136,"score_gpt":0.2597016250617113,"score_spread":0.23648174739091815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384913059","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043697274,0.008642533,0.8838465,0.0034692066,0.03040283,0.0018596797,0.000068567984,0.02659913,0.044674575],"genre_scores_gemma":[0.013962799,0.00021086675,0.074788004,0.0002047417,0.00062973914,0.0000070271435,0.000046378293,0.00021024591,0.9099402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997024,0.000021826463,0.00044089768,0.00091155054,0.0008791683,0.00072257826],"domain_scores_gemma":[0.997026,0.0012157531,0.00017490494,0.001061541,0.00037587047,0.00014590728],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040366588,0.0005325827,0.0005020613,0.0003704937,0.00022703747,0.00036782518,0.002197272,0.00033597945,0.00002115827],"category_scores_gemma":[0.0011340025,0.000504992,0.00023757809,0.00024117318,0.00014465133,0.00030486812,0.0019059076,0.0016045896,0.0009441829],"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":[0.000023820294,0.000012216611,0.0001411385,0.00050650735,0.00025134112,0.00087720214,0.0007831206,0.0013344196,0.000022539738,0.7418164,0.04142452,0.2128068],"study_design_scores_gemma":[0.00068332005,0.0006352485,0.0034918855,0.005321713,0.000055644785,0.00090374914,0.000042511692,0.026293159,0.0009727484,0.17003132,0.7862476,0.0053211143],"about_ca_topic_score_codex":0.000008998512,"about_ca_topic_score_gemma":0.000008311166,"teacher_disagreement_score":0.8652656,"about_ca_system_score_codex":0.0002442687,"about_ca_system_score_gemma":0.00015436682,"threshold_uncertainty_score":0.9998337},"labels":[],"label_agreement":null},{"id":"W4410034776","doi":"10.1007/978-981-96-2540-6_4","title":"Evolutionary Computation for Explainable Deep Learning","year":2025,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Artificial intelligence; Cognitive science; Psychology","score_opus":0.01642144696102722,"score_gpt":0.26609782876718696,"score_spread":0.24967638180615975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410034776","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000062715684,0.0049982923,0.86765224,0.0010780883,0.0032261303,0.0009299603,0.000007038547,0.0011749812,0.12087055],"genre_scores_gemma":[0.084633425,0.00012256643,0.260362,0.00051992666,0.0008755787,0.00003315245,0.00027578452,0.00009700123,0.6530806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973115,0.000061197534,0.000636276,0.00092808384,0.00044931003,0.0006136403],"domain_scores_gemma":[0.99739414,0.00080774835,0.0004360385,0.00042502393,0.0008536379,0.000083403385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041141818,0.0005113642,0.0005380834,0.00039125676,0.0011485231,0.0004038376,0.0010521044,0.00037451976,0.000014032214],"category_scores_gemma":[0.00031052594,0.00055745064,0.00027693476,0.00020751932,0.00013830786,0.0008601358,0.0007081669,0.0009232926,0.00006743162],"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":[0.000037371457,0.000011190083,0.000005711476,0.00022008167,0.00006554494,0.000023169396,0.0005331781,0.011252547,0.000036343677,0.87111473,0.004803957,0.11189616],"study_design_scores_gemma":[0.00016836994,0.0002781447,0.000023815113,0.00051759265,0.00003628959,0.00004891409,0.00016586193,0.5736487,0.0005383792,0.20844068,0.21526834,0.0008649228],"about_ca_topic_score_codex":0.000022374767,"about_ca_topic_score_gemma":0.000022462398,"teacher_disagreement_score":0.66267407,"about_ca_system_score_codex":0.00035236997,"about_ca_system_score_gemma":0.00022139851,"threshold_uncertainty_score":0.9996877},"labels":[],"label_agreement":null},{"id":"W57020322","doi":"10.1007/978-3-540-72877-1_7","title":"Evolutionary and Swarm Design in Science, Art, and Music","year":2007,"lang":"en","type":"book-chapter","venue":"Natural computing series","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Genetic programming; Swarm behaviour; Blueprint; Evolutionary algorithm; Artificial intelligence; Implementation; Process (computing); Variety (cybernetics); Human–computer interaction; Programming language; Engineering","score_opus":0.025516934477306435,"score_gpt":0.2201098157884674,"score_spread":0.19459288131116095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57020322","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":[0.9294605,0.01458356,0.00001032532,0.0013354565,0.0005443469,0.000683093,0.000019450323,0.00050181337,0.052861422],"genre_scores_gemma":[0.98610044,0.00021998017,0.00067491556,0.00022984389,0.00013625085,0.0000012648469,0.000015015105,0.0000023010932,0.012620019],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988002,0.000015375854,0.0002180964,0.00043888402,0.00019617018,0.00033124394],"domain_scores_gemma":[0.9994889,0.00022284532,0.0001079075,0.000052891744,0.00007157361,0.00005589623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004626439,0.00022980376,0.000273274,0.0000841674,0.0003968754,0.000056889803,0.00020858695,0.0003265132,0.0000376739],"category_scores_gemma":[0.00005172713,0.000102823,0.000033039745,0.00013530922,0.0009159755,0.00015248368,0.00024400461,0.00054182805,0.000011662793],"study_design_candidate":"design_other","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":[0.0004655095,0.000056310728,0.0057083615,0.00009747165,0.000065941014,0.000270763,0.00038378357,0.000014718811,0.022886563,0.252158,0.002448085,0.7154445],"study_design_scores_gemma":[0.0017624345,0.0025344254,0.60823435,0.0016117487,0.00015594937,0.0016225569,0.00086690875,0.0031380015,0.0013899747,0.19470082,0.1800318,0.0039510345],"about_ca_topic_score_codex":0.000013569342,"about_ca_topic_score_gemma":0.0003332927,"teacher_disagreement_score":0.7114935,"about_ca_system_score_codex":0.000039305847,"about_ca_system_score_gemma":0.000015905202,"threshold_uncertainty_score":0.41930005},"labels":[],"label_agreement":null}]}