{"id":"W2947672775","doi":"10.2196/13562","title":"Identification of Knee Osteoarthritis Based on Bayesian Network: Pilot Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Science and Technology Cooperation Programme; Fundo para o Desenvolvimento das Ciências e da Tecnologia","keywords":"Bayesian network; Artificial intelligence; Machine learning; Computer science; Identification (biology); Sensitivity (control systems); Preprocessor; Data mining; Engineering","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":[0.003657568,0.0004836436,0.0004489729,0.0006996305,0.0003440677,0.000436061,0.0005541344,0.0005638984,0.002015519],"category_scores_gemma":[0.01067926,0.0002345885,0.0005415864,0.0003944494,0.000237238,0.0008378788,0.0003913956,0.0005064638,0.0003063456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007984587,"about_ca_system_score_gemma":0.0006841492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012317,"about_ca_topic_score_gemma":0.008631263,"domain_scores_codex":[0.999096,0.0005938788,0.00003422684,0.000114588,0.0001014889,0.00005987293],"domain_scores_gemma":[0.9939392,0.00461715,0.0002725574,0.0003113719,0.0006497895,0.0002100155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005895742,0.01293614,0.5216056,0.0005530337,0.0005069021,0.001187698,0.001315336,0.1792932,0.003789018,0.002602435,0.003304288,0.2670106],"study_design_scores_gemma":[0.0003569048,0.002682996,0.08438644,0.0000398172,0.0001651896,0.0002400645,0.0005088052,0.9084978,0.0009585107,0.001480086,0.0006474188,0.00003598017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811977,0.0001214482,0.01715423,0.0001255726,0.00001358973,0.0003159166,0.0001997329,0.00005970045,0.0008122583],"genre_scores_gemma":[0.9875454,0.0001374034,0.01137402,0.00003036701,0.00001844981,0.0001515641,0.0003515896,0.000004508014,0.0003866477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012317,"threshold_uncertainty_score":0.02449059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273716071459521,"score_gpt":0.273728826516099,"score_spread":0.2609916658015038,"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."}}