{"id":"W4379389544","doi":"10.46299/isg.p.2023.1.22","title":"MODERN THEORIES AND IMPROVEMENT OF WORLD METHODS","year":2023,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Universidad Nacional Agraria La Molina; Taras Shevchenko National University of Kyiv; Lviv Polytechnic National University; University of Alberta","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730762,0.00006171866,0.00009396704,0.00005001379,0.00002257254,0.0000050543,0.00005826243,0.00003120366,0.00002048929],"category_scores_gemma":[0.00001325999,0.00005077555,0.00004844489,0.0001653819,0.00005098854,6.819383e-7,0.0001209149,0.00001587196,0.000001541129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001842121,"about_ca_system_score_gemma":0.00001131898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006392198,"about_ca_topic_score_gemma":0.00004340431,"domain_scores_codex":[0.9995532,0.00002950736,0.0001070026,0.0001566588,0.00005018643,0.0001034161],"domain_scores_gemma":[0.9996935,0.00001042392,0.00003205779,0.0002047881,0.00002877838,0.0000304331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009014848,0.000006262052,0.001797352,0.00000992909,0.0000945381,1.851488e-7,0.00002206423,0.0002801064,0.9443913,0.001101543,0.0007141985,0.0515735],"study_design_scores_gemma":[0.0001344702,0.00006846383,0.002277445,0.000002154919,0.00003386134,5.10247e-7,0.0000763768,0.003006146,0.9812945,0.006980208,0.006033139,0.00009272964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666864,0.0007194793,0.02941798,0.0001142736,0.00004173136,0.00006710962,0.000002477441,0.00001704482,0.002933532],"genre_scores_gemma":[0.9855017,0.0001250467,0.006037327,0.00005651369,0.0000426502,0.000006827521,0.00001606973,0.000008360901,0.008205485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05148077,"threshold_uncertainty_score":0.2070567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035767984540419,"score_gpt":0.2990696216392403,"score_spread":0.2887119417938361,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}