{"id":"W7111347750","doi":"10.1371/journal.pone.0320603.s002","title":"PRISMA 2020 checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Epidemiology; Exposure assessment; Subgroup analysis; Publication bias; Risk assessment; Health care; Meta-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":[0.07940063,0.004895444,0.01083458,0.01488297,0.002807594,0.008208347,0.01361915,0.005865275,0.3706506],"category_scores_gemma":[0.1598831,0.006318324,0.01859046,0.01716029,0.003617876,0.004493804,0.007143313,0.008377541,0.04015587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008274,"about_ca_system_score_gemma":0.04819286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01577733,"about_ca_topic_score_gemma":0.02099969,"domain_scores_codex":[0.941771,0.02587237,0.02303181,0.00396611,0.004028021,0.001330577],"domain_scores_gemma":[0.855023,0.09554177,0.01262848,0.01480632,0.0203713,0.001629096],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001837913,0.0001482067,0.0005120067,0.3502362,0.003263447,0.0002911087,0.0009381737,0.001352649,0.0004409276,0.01199489,0.5983172,0.03066719],"study_design_scores_gemma":[0.01242765,0.0002836604,0.003962417,0.1242918,0.00466555,0.0004977356,0.001007611,0.004296418,0.001011917,0.03534584,0.8114547,0.0007548071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0009484735,0.004756698,0.02611294,0.008715315,0.004816498,0.1269207,0.7978373,0.02174493,0.008147233],"genre_scores_gemma":[0.00393646,0.003285722,0.1478849,0.002774997,0.0002770192,0.7718396,0.0575084,0.0037048,0.008787976],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9205993,"threshold_uncertainty_score":0.8976905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214409725512862,"score_gpt":0.3202360502691277,"score_spread":0.2987950777178415,"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."}}