{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01060546,0.004161445,0.01467332,0.0376597,0.00176912,0.005333802,0.005234256,0.004264705,0.3689162],"category_scores_gemma":[0.04320573,0.002177289,0.006041297,0.03161999,0.001366767,0.005473208,0.005001319,0.003134581,0.05578216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016426,"about_ca_system_score_gemma":0.02595487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627638,"about_ca_topic_score_gemma":0.01958677,"domain_scores_codex":[0.9910783,0.001896334,0.004553168,0.001079503,0.0008956787,0.0004969133],"domain_scores_gemma":[0.9805766,0.01119865,0.003142838,0.000689148,0.003582456,0.0008104022],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001010734,0.00006064372,0.0004306302,0.8207852,0.001059918,0.0003275008,0.0005565949,0.0002769605,0.0003493408,0.00249882,0.1377416,0.03490211],"study_design_scores_gemma":[0.003743203,0.0003759142,0.002392376,0.562655,0.004264109,0.0004217687,0.001042065,0.000452292,0.0003663303,0.005207625,0.4188872,0.0001920194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002205807,0.05113496,0.005404507,0.00543642,0.001495772,0.1768544,0.7217572,0.001481355,0.0342296],"genre_scores_gemma":[0.008638807,0.08234724,0.02053818,0.009329733,0.0006121886,0.7208143,0.1203977,0.001185779,0.03613604],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9893945,"threshold_uncertainty_score":0.9001645,"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."}}