{"id":"W6885946834","doi":"10.1371/journal.pone.0291189.s001","title":"PRISMA 2009 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CINAHL; Inclusion (mineral); Scale (ratio); Scopus; Web of science; Reproductive health; MEDLINE; 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":[0.06545822,0.003853597,0.008164052,0.0133858,0.00304076,0.006923996,0.009703765,0.003685373,0.377999],"category_scores_gemma":[0.1592863,0.004498937,0.01353395,0.01626169,0.002206574,0.004254433,0.004718927,0.007392506,0.03612868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01045503,"about_ca_system_score_gemma":0.04696179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148438,"about_ca_topic_score_gemma":0.02203539,"domain_scores_codex":[0.945277,0.02346581,0.02180378,0.003962995,0.004375322,0.001115122],"domain_scores_gemma":[0.8826411,0.07308881,0.009923829,0.01071071,0.0223931,0.001242361],"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":[0.001868906,0.0002647649,0.0007751791,0.3675092,0.002100488,0.0002111544,0.001089564,0.001385,0.0002496104,0.01171185,0.5592101,0.05362432],"study_design_scores_gemma":[0.00887417,0.0003372191,0.004871898,0.1429696,0.003040035,0.0003054804,0.0019427,0.001771182,0.0004908264,0.02931173,0.8057196,0.0003655707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001095521,0.006386925,0.01956518,0.006355927,0.003343149,0.2746011,0.6701205,0.004287412,0.01424443],"genre_scores_gemma":[0.002417693,0.002968435,0.06813487,0.001346437,0.0001539877,0.8831375,0.03510037,0.0006971583,0.006043606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9345418,"threshold_uncertainty_score":0.8872089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08077032940120436,"score_gpt":0.3707021297482037,"score_spread":0.2899318003469993,"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."}}