{"id":"W6904692883","doi":"10.1371/journal.pone.0293513.s001","title":"PRISMA checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Willingness to pay; Data extraction; Funnel plot; Confidence interval; Payment; Health care; Publication bias; Sample size determination; Data collection","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.07470398,0.004510446,0.008240403,0.01532033,0.003150711,0.007992822,0.009054828,0.004828074,0.3585855],"category_scores_gemma":[0.1613055,0.005360061,0.01562648,0.01400386,0.003062885,0.004220022,0.005685613,0.008288407,0.03330211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009633133,"about_ca_system_score_gemma":0.05328393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01044959,"about_ca_topic_score_gemma":0.01741497,"domain_scores_codex":[0.9465603,0.02429585,0.01977752,0.00413432,0.00414477,0.001087249],"domain_scores_gemma":[0.8524387,0.09300582,0.01219379,0.0137088,0.02702706,0.001625797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00217046,0.0003383884,0.0006718399,0.483923,0.002286303,0.0002869199,0.001401993,0.001532313,0.0003821356,0.01396457,0.4315763,0.06146565],"study_design_scores_gemma":[0.01199187,0.0003771154,0.00376425,0.1903954,0.003338839,0.0003401564,0.002077447,0.002633174,0.0008328697,0.03923866,0.7445202,0.0004900014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001212304,0.006300754,0.0266538,0.0088514,0.004357724,0.4371353,0.4970973,0.006978165,0.01141311],"genre_scores_gemma":[0.001770416,0.002158417,0.07491532,0.001196967,0.0001431732,0.896832,0.01791724,0.000614068,0.004452379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6414145,"threshold_uncertainty_score":0.9148999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0677289205880304,"score_gpt":0.2607838590960826,"score_spread":0.1930549385080522,"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."}}