{"id":"W2125610074","doi":"10.2196/medinform.3251","title":"Clinical Data Miner: An Electronic Case Report Form System With Integrated Data Preprocessing and Machine-Learning Libraries Supporting Clinical Diagnostic Model Research","year":2014,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Workflow; Preprocessor; Data pre-processing; Machine learning; Software; Data mining; Interface (matter); Artificial intelligence; Software engineering; Database; Programming language; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01545502,0.001854548,0.001534531,0.00557824,0.0005212792,0.003312632,0.004325452,0.001340498,0.03190408],"category_scores_gemma":[0.04938831,0.001562945,0.001505339,0.002330214,0.0007006437,0.00319172,0.004745155,0.001789628,0.01220319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459997,"about_ca_system_score_gemma":0.004226939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141753,"about_ca_topic_score_gemma":0.0014378,"domain_scores_codex":[0.9928737,0.002487185,0.001410163,0.00132936,0.001691221,0.0002084101],"domain_scores_gemma":[0.9571581,0.02614654,0.003290683,0.007156473,0.00442552,0.001822628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004309667,0.001057151,0.01813451,0.003144574,0.000599526,0.001946087,0.00160717,0.007025897,0.0135776,0.009793688,0.2755376,0.6632666],"study_design_scores_gemma":[0.005989905,0.001899325,0.03461878,0.002089904,0.0005141383,0.007014879,0.0006139702,0.2057882,0.06740206,0.03046816,0.6426905,0.000910205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01601949,0.000967584,0.4534927,0.001919237,0.0002251786,0.005586547,0.03546137,0.4777266,0.008601289],"genre_scores_gemma":[0.1169158,0.001071997,0.7745032,0.002818024,0.0003197701,0.009542126,0.05629009,0.02668454,0.01185451],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03190408,"threshold_uncertainty_score":0.1067297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539092547912468,"score_gpt":0.4471745632613304,"score_spread":0.2932653084700836,"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."}}