{"id":"W6977683815","doi":"10.6084/m9.figshare.21397914","title":"Additional file 8 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","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; Statistical classification","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":[0.005786758,0.00180882,0.003067214,0.006361397,0.0006911453,0.002664882,0.002024111,0.001531465,0.8926322],"category_scores_gemma":[0.07720586,0.001070298,0.002956203,0.008725895,0.0004813778,0.002394415,0.00156565,0.001127557,0.1258748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842132,"about_ca_system_score_gemma":0.003241247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003042581,"about_ca_topic_score_gemma":0.00885283,"domain_scores_codex":[0.9973138,0.0008741973,0.0008636295,0.0003766582,0.0003615175,0.0002101157],"domain_scores_gemma":[0.8989949,0.08961722,0.00415548,0.002003901,0.004273456,0.0009550335],"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":[0.002909537,0.0002385587,0.001730838,0.07220577,0.0006089609,0.0001846247,0.0001640915,0.001329828,0.0004013574,0.002853022,0.8720123,0.0453612],"study_design_scores_gemma":[0.04101152,0.001381368,0.02009053,0.022066,0.002372186,0.0007725952,0.0004124234,0.007206535,0.002790428,0.04016411,0.8612083,0.0005239886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000429416,0.0002475627,0.002133578,0.0003775255,0.00009247057,0.001409835,0.9896833,0.002855824,0.002770591],"genre_scores_gemma":[0.02200121,0.001356543,0.06715941,0.002674187,0.0006636527,0.03986128,0.8236796,0.007061283,0.03554288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9942132,"threshold_uncertainty_score":0.1531472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2295044196727818,"score_gpt":0.442388294731643,"score_spread":0.2128838750588613,"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."}}