{"id":"W4403227495","doi":"10.1016/j.cjca.2024.08.081","title":"A NOVEL MOBILE SCREENING PROGRAM FOR VALVULAR HEART DISEASE","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; valvular heart disease; Cardiology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330306,0.00009717022,0.0002239275,0.0007032902,0.0001504779,0.0001412766,0.0001925086,0.00009158688,0.00001852757],"category_scores_gemma":[0.0001655165,0.00008942888,0.000200456,0.00042216,0.0001462694,0.0003288359,0.00001727857,0.0002250108,0.00002070449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207175,"about_ca_system_score_gemma":0.000291354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004625307,"about_ca_topic_score_gemma":0.00041721,"domain_scores_codex":[0.999274,0.000004764289,0.0002478669,0.0001238475,0.00005655487,0.000292994],"domain_scores_gemma":[0.9994403,0.00004084669,0.00007170146,0.0001286813,0.0002634439,0.00005505083],"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":[0.00006146041,0.0000195027,0.06858197,0.0004063141,0.0007874077,0.0005050557,0.00004580536,0.003711479,0.0007856975,0.2481318,0.5270728,0.1498908],"study_design_scores_gemma":[0.0002224849,0.00003949184,0.005855816,0.00006339992,0.0001300197,0.00007085899,0.000097258,0.0005348873,0.000003070642,0.004384426,0.9884965,0.0001018166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3612739,0.01232408,0.452857,0.1390703,0.01025985,0.003442865,0.000234255,0.0007240621,0.01981374],"genre_scores_gemma":[0.9931633,0.000002755678,0.002030877,0.001725234,0.002886057,0.00007240751,0.00002590142,0.00002311254,0.00007036512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6318894,"threshold_uncertainty_score":0.3646804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543693310050916,"score_gpt":0.2665855176039411,"score_spread":0.241148584503432,"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."}}