{"id":"W2104129970","doi":"10.1109/cbms.2006.99","title":"Incoporating Data Mining Applications into Clinical Guildelines","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer 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":[0.00667782,0.0006383431,0.0005565534,0.002887897,0.000861712,0.004492198,0.00166215,0.001322849,0.004726666],"category_scores_gemma":[0.03482085,0.0007009232,0.001004113,0.00342955,0.00114971,0.004461608,0.003806504,0.001352667,0.001598326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120467,"about_ca_system_score_gemma":0.002365711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003329867,"about_ca_topic_score_gemma":0.005513712,"domain_scores_codex":[0.9964488,0.001502997,0.0006197486,0.0004240765,0.0008972062,0.0001072022],"domain_scores_gemma":[0.9822845,0.01142413,0.0008278573,0.003315297,0.001810778,0.0003373326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006078553,0.0004656586,0.013011,0.00145104,0.0002145686,0.002137205,0.004961208,0.02887955,0.007859218,0.1487842,0.03446344,0.757165],"study_design_scores_gemma":[0.0002584638,0.0001995997,0.00410695,0.00132103,0.0001432735,0.001504398,0.001841048,0.3800997,0.03994688,0.2831451,0.2872888,0.0001448019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02166027,0.0003831827,0.9445908,0.002365302,0.0001284173,0.0005462652,0.001781099,0.01933733,0.009207368],"genre_scores_gemma":[0.09842119,0.0004798132,0.8935648,0.0004208904,0.00003578257,0.0003508628,0.003030726,0.0008493005,0.002846552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00667782,"threshold_uncertainty_score":0.03531611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055671020798959,"score_gpt":0.3899877597113202,"score_spread":0.2844206576314243,"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."}}