{"id":"W6920826470","doi":"10.6084/m9.figshare.26574766","title":"Additional file 1 of Measuring the impact of zero-cases studies in evidence synthesis practice using the harms index and benefits index (Hi-Bi)","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Index (typography); Table (database); Baseline (sea); Diagram; Event (particle physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01798392,0.001844084,0.002603572,0.008296061,0.001111399,0.003154201,0.002492315,0.002196912,0.8485668],"category_scores_gemma":[0.2433941,0.001355548,0.00333787,0.01059719,0.0005431059,0.003923617,0.002868005,0.001669966,0.07204367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578989,"about_ca_system_score_gemma":0.006175749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093776,"about_ca_topic_score_gemma":0.008415118,"domain_scores_codex":[0.9891897,0.003858852,0.003593811,0.001212873,0.001650875,0.0004937691],"domain_scores_gemma":[0.6424803,0.3192503,0.01441152,0.008607696,0.01374463,0.001505571],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001475676,0.00020662,0.005228908,0.07803936,0.0007757045,0.0001254481,0.0003024445,0.00141818,0.0001896422,0.004219794,0.873867,0.03415128],"study_design_scores_gemma":[0.02976066,0.0009770395,0.03427647,0.05560793,0.003781342,0.0009957543,0.001094756,0.006939195,0.001504123,0.03887286,0.8257783,0.0004115179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000317217,0.0001177637,0.001399087,0.000273675,0.0000552285,0.00148465,0.9943237,0.0005843579,0.001444266],"genre_scores_gemma":[0.03147627,0.001345414,0.07628368,0.002940498,0.0004569906,0.09456085,0.7694513,0.004047593,0.01943734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9820161,"threshold_uncertainty_score":0.216001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8616829187336879,"score_gpt":0.5802738584095612,"score_spread":0.2814090603241266,"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."}}