{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965743,0.00017824,0.0004187842,0.0001345744,0.0000472925,0.00001982498,0.000123014,0.0001088997,0.0009082241],"category_scores_gemma":[0.00007091781,0.0001472638,0.00007855459,0.0002522302,0.0000557926,0.0001350651,0.00003960456,0.0002518814,0.0004361841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004386974,"about_ca_system_score_gemma":0.0001630056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002814398,"about_ca_topic_score_gemma":0.000008313995,"domain_scores_codex":[0.9974774,0.00004505314,0.0009023107,0.0001258974,0.001153077,0.0002962656],"domain_scores_gemma":[0.9987543,0.0000882984,0.0002621802,0.0005170954,0.0001011095,0.0002770561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.004976655,0.01703328,0.1196326,0.002070401,0.000313366,0.0002857577,0.007922344,0.0002279207,0.002546305,0.004592963,0.005498033,0.8349004],"study_design_scores_gemma":[0.1509714,0.6217009,0.05981278,0.007610298,0.0009625088,0.0002717733,0.01685924,0.1192838,0.007868981,0.0008715644,0.01177899,0.002007761],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874089,0.00003149452,0.0006131176,0.0001560311,0.0005736428,0.002644568,0.00001089088,0.0000982681,0.008463077],"genre_scores_gemma":[0.9975802,0.000004060405,0.0005400858,0.0007891325,0.000126519,0.0001347972,0.00008297269,0.00002051683,0.0007216939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8328927,"threshold_uncertainty_score":0.9944417,"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."}}