{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0744515,0.00103236,0.001308003,0.001873956,0.001737883,0.00956771,0.003669426,0.002445154,0.005001703],"category_scores_gemma":[0.1091153,0.0006518274,0.001439125,0.004563817,0.002734866,0.009833142,0.003372214,0.005287345,0.0005989636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0045688,"about_ca_system_score_gemma":0.02588938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008648388,"about_ca_topic_score_gemma":0.01879131,"domain_scores_codex":[0.9713225,0.02143131,0.002442371,0.001078004,0.002804634,0.000921108],"domain_scores_gemma":[0.8320531,0.1257529,0.005435204,0.005651804,0.02592587,0.005181103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005832804,0.001498434,0.03560364,0.01250106,0.0004181439,0.0001499598,0.002644584,0.0005642365,0.0004884622,0.01892846,0.01708817,0.9095316],"study_design_scores_gemma":[0.00108326,0.00422556,0.138752,0.2038319,0.003141578,0.001854951,0.08991204,0.01278089,0.006544307,0.1597483,0.3775697,0.0005555156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.05398492,0.4272738,0.02723776,0.4692926,0.004980523,0.001775289,0.0006724322,0.0003420146,0.01444074],"genre_scores_gemma":[0.3448672,0.4538113,0.151618,0.04019285,0.003488867,0.00261805,0.0005445281,0.0001116557,0.002747482],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0744515,"threshold_uncertainty_score":0.3937418,"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."}}