{"id":"W3018351107","doi":"","title":"Data Mining Applications in Clinical Implementation and Healthcare: Highlights of Findings, Interventions, and Future Directions","year":2016,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychological intervention; Health care; Computer science; Data science; Medicine; Nursing; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.004531654,0.0001230273,0.0003948244,0.0002841214,0.0002041731,0.000007359627,0.000150246,0.0001776414,0.00001723051],"category_scores_gemma":[0.00009358316,0.00008270727,0.00002251036,0.0004536273,0.0002816375,0.00012809,0.0003337574,0.0002588101,5.511618e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972628,"about_ca_system_score_gemma":0.00006372854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185367,"about_ca_topic_score_gemma":0.004747166,"domain_scores_codex":[0.9965327,0.00126902,0.001354291,0.0004712317,0.00009692932,0.0002758645],"domain_scores_gemma":[0.9971576,0.00198988,0.0002578803,0.0003510105,0.00009369732,0.0001499663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001077699,0.00003783232,0.3702193,0.0003251511,0.000006755686,5.544561e-7,0.001324498,2.044947e-9,0.00001471995,0.001511554,0.00006216337,0.6264867],"study_design_scores_gemma":[0.001509537,0.000972737,0.6807992,0.003366198,0.00004859893,0.000007568564,0.01491118,0.0008618533,0.00002483274,0.004776894,0.2924663,0.0002551856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7701967,0.01987454,0.1421899,0.06148835,0.002095523,0.003891117,0.0001566833,0.00009063096,0.00001658216],"genre_scores_gemma":[0.2606904,0.0375959,0.6984005,0.0005182882,0.001850762,0.0005565042,0.0003116201,0.00003620849,0.00003980609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6262316,"threshold_uncertainty_score":0.3372705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4327002756550868,"score_gpt":0.632015997569195,"score_spread":0.1993157219141082,"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."}}