{"id":"W6957968945","doi":"10.6084/m9.figshare.21397890","title":"Additional file 1 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Ottawa Hospital; McMaster University; London Health Sciences Centre; Lawson Health Research Institute","funders":"","keywords":"Cluster (spacecraft); MEDLINE; Randomized controlled trial; Key (lock); Support vector machine","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":[0.01035513,0.001521689,0.003097364,0.008238556,0.0009028479,0.002546702,0.002091694,0.002231169,0.8808103],"category_scores_gemma":[0.1696673,0.001219753,0.002927294,0.01219788,0.000534554,0.003139042,0.001796921,0.001428437,0.1013171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002233648,"about_ca_system_score_gemma":0.005415027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003796666,"about_ca_topic_score_gemma":0.0108221,"domain_scores_codex":[0.9946945,0.001741573,0.002090594,0.0006208178,0.000573309,0.0002791582],"domain_scores_gemma":[0.7540838,0.2198998,0.01015106,0.004159464,0.01037818,0.001327652],"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":[0.002861319,0.0001834257,0.001829088,0.1045239,0.0006638094,0.0001350179,0.0002069084,0.001358146,0.0002362431,0.005035513,0.8458318,0.03713486],"study_design_scores_gemma":[0.05037064,0.001542002,0.01899177,0.06011813,0.003679196,0.0008211298,0.0004911108,0.007562839,0.001548527,0.04990513,0.8045145,0.000454968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003177593,0.0002254134,0.001638546,0.0003910609,0.00007402361,0.002040649,0.9923325,0.0006136725,0.002366461],"genre_scores_gemma":[0.02368247,0.002202488,0.06812551,0.00353929,0.0007718103,0.1012226,0.7663584,0.003348932,0.03074851],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9896449,"threshold_uncertainty_score":0.1700096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6608904146680188,"score_gpt":0.5096209178916588,"score_spread":0.15126949677636,"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."}}