{"id":"W6939335986","doi":"10.6084/m9.figshare.21397917.v1","title":"Additional file 9 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Dialysis and Renal Disease Management","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":"Key (lock); Table (database); MEDLINE; Cluster (spacecraft); Randomized controlled trial","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":[0.007940747,0.001563724,0.00333506,0.009402866,0.0007128522,0.002509203,0.002037249,0.001599952,0.8235328],"category_scores_gemma":[0.1015077,0.0009362511,0.002880517,0.01169765,0.0004972458,0.002885852,0.001536653,0.001051756,0.07742295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177004,"about_ca_system_score_gemma":0.004396471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003294349,"about_ca_topic_score_gemma":0.009377676,"domain_scores_codex":[0.9954268,0.001272329,0.001830898,0.0006459838,0.0005610273,0.0002629472],"domain_scores_gemma":[0.8556591,0.125478,0.008564811,0.003051074,0.006349316,0.0008975836],"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":[0.003824225,0.0003189322,0.004191661,0.1640535,0.001278531,0.0002369626,0.0001931879,0.002220206,0.0005157729,0.003679314,0.7716652,0.04782245],"study_design_scores_gemma":[0.06285574,0.002320271,0.03760215,0.06097666,0.005012983,0.00125049,0.0006709601,0.01311326,0.002775331,0.04229425,0.770481,0.0006469449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003021398,0.0001684946,0.0008430271,0.0001693129,0.00003605072,0.001147838,0.9958311,0.0005497825,0.0009522787],"genre_scores_gemma":[0.01930307,0.00125275,0.0361746,0.00149146,0.0003386111,0.04941393,0.8767779,0.001541644,0.01370602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9920592,"threshold_uncertainty_score":0.2517089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569098684287838,"score_gpt":0.317522621462934,"score_spread":0.2718316346200557,"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."}}