{"id":"W7111211385","doi":"10.1371/journal.pgph.0004934.s002","title":"PRISMA checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Privilege (computing); Health care; Systematic review; Inclusion (mineral); Quality (philosophy); Project commissioning; Health equity","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":[0.07845246,0.004067369,0.007905126,0.0170912,0.003698483,0.009364105,0.01088202,0.006115111,0.3734206],"category_scores_gemma":[0.1889873,0.005626625,0.01559009,0.01633397,0.003175092,0.00604741,0.008409764,0.008906731,0.0483705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081615,"about_ca_system_score_gemma":0.06192401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319462,"about_ca_topic_score_gemma":0.01753298,"domain_scores_codex":[0.9332881,0.02961342,0.02446522,0.004032527,0.006798879,0.001801854],"domain_scores_gemma":[0.8193736,0.1073638,0.0148297,0.01257166,0.04373984,0.002121311],"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":[0.001096891,0.0001897293,0.000453459,0.4270097,0.0009763081,0.0002082808,0.001403901,0.0008297989,0.0002632082,0.01144759,0.4941486,0.06197245],"study_design_scores_gemma":[0.004361546,0.0002177295,0.002603994,0.2092977,0.00126066,0.0003019395,0.002154642,0.0009045167,0.0005075502,0.02424957,0.7538654,0.0002746729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009878024,0.01042935,0.02008124,0.01607959,0.006178902,0.3789994,0.535191,0.006743681,0.02530911],"genre_scores_gemma":[0.001994248,0.004433604,0.06771754,0.00247593,0.0002268203,0.8853061,0.03033276,0.0006957211,0.006817319],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9215475,"threshold_uncertainty_score":0.8937395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393176643715008,"score_gpt":0.3208366418954419,"score_spread":0.2969048754582918,"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."}}