{"id":"W6977079806","doi":"10.6084/m9.figshare.21397893","title":"Additional file 2 of Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Healthcare","field":"Computer Science","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; Support vector machine; Feature (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008830274,0.0001593077,0.0007087386,0.0001726846,0.000265894,0.00008208863,0.0005966898,0.00004728229,0.9873596],"category_scores_gemma":[0.05105563,0.0001479763,0.0001764835,0.000337636,0.000008946389,0.0001474738,0.001256898,0.0004978427,0.000379235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004103436,"about_ca_system_score_gemma":0.0001168996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518397,"about_ca_topic_score_gemma":0.00001321045,"domain_scores_codex":[0.9959833,0.0021701,0.000622613,0.0004518844,0.0005585229,0.0002135761],"domain_scores_gemma":[0.9746293,0.02422596,0.000497368,0.0003443483,0.0001400343,0.0001629422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004964019,0.00001704715,0.000001878556,0.00003763246,0.00002588429,0.00001560211,0.0002699536,0.0009109977,0.000002875034,0.00000689598,0.9872101,0.01100476],"study_design_scores_gemma":[0.01019688,0.00008013066,0.0002743191,0.0004184264,0.00000789587,0.00001419726,0.00002082922,0.318745,0.00001421272,0.0002072868,0.6698439,0.0001769367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003546075,0.0002067374,0.0004597013,0.0009438863,0.00008721127,0.0005774879,0.9973832,0.0001112995,0.0001950526],"genre_scores_gemma":[0.001135641,8.921867e-7,0.03261153,0.0009907944,0.0001972588,0.002833205,0.961269,0.00002009223,0.0009415505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9869803,"threshold_uncertainty_score":0.9569377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880192888910387,"score_gpt":0.3407368571763569,"score_spread":0.2819349282872531,"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."}}