{"id":"W6960729084","doi":"10.1371/journal.pone.0292226.s002","title":"Search strategy.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds ratio; Meta-analysis; Pregnancy; Confidence interval; Scopus; Incidence (geometry); Inclusion and exclusion criteria; Subgroup analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002733192,0.0001672728,0.0001115884,0.00006312472,0.00002202394,0.00003153809,0.0002689086,0.0003923249,0.213912],"category_scores_gemma":[0.0002912208,0.0001616047,0.00006705008,0.00006799163,0.000005678943,6.318314e-7,0.0001941675,0.0001948613,0.01646832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006466079,"about_ca_system_score_gemma":0.00007602114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277874,"about_ca_topic_score_gemma":0.00007319522,"domain_scores_codex":[0.9993399,0.00002031449,0.0001009548,0.000195312,0.0001402728,0.0002032468],"domain_scores_gemma":[0.9994521,0.000008252814,0.00007267194,0.0003840551,0.00002583482,0.00005713953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001265367,0.000003746574,0.000009008016,0.0001847089,0.00003086181,0.000004024134,0.0000042989,0.00002971059,0.00003275865,0.000002380163,0.9977756,0.001921683],"study_design_scores_gemma":[0.00007980306,0.00004912679,0.00005599501,0.0005285023,0.000003044119,0.000003849175,0.000008691286,0.00008535103,0.0003007437,5.979376e-7,0.9986953,0.0001890222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002047319,0.0003462508,0.000001881389,0.00001113813,0.00005931104,0.000171448,0.1512454,0.0002592994,0.8479032],"genre_scores_gemma":[0.00008840881,0.00003160764,0.0001048702,0.00006995477,0.0005860408,0.00004804472,0.2496048,0.0007358984,0.7487304],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1974437,"threshold_uncertainty_score":0.9842975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899562364378563,"score_gpt":0.3027106084136111,"score_spread":0.2737149847698255,"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."}}