{"id":"W4322098417","doi":"10.2196/36121","title":"Evaluation of 2 Artificial Intelligence Software for Chest X-Ray Screening and Pulmonary Tuberculosis Diagnosis: Protocol for a Retrospective Case-Control Study","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kementerian Kesihatan Malaysia","keywords":"Medicine; Tuberculosis; Retrospective cohort study; Protocol (science); Population; Family medicine; Medical physics; Surgery; Pathology; Alternative medicine; Environmental health","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":[0.03439312,0.002440545,0.003741455,0.002536416,0.002516131,0.001952305,0.002246375,0.003072288,0.01988383],"category_scores_gemma":[0.01999011,0.001936388,0.002088845,0.002385658,0.001948277,0.001910614,0.001498671,0.002004097,0.004257198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003252866,"about_ca_system_score_gemma":0.0100354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018222,"about_ca_topic_score_gemma":0.00277153,"domain_scores_codex":[0.978142,0.01159998,0.004451362,0.001885352,0.002669454,0.001252007],"domain_scores_gemma":[0.9853028,0.003049638,0.003084408,0.001928671,0.005410698,0.001223789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.300805,0.1588649,0.1538104,0.05395081,0.002472748,0.005944876,0.01065028,0.007507833,0.02311991,0.01160487,0.05027839,0.2209901],"study_design_scores_gemma":[0.1629943,0.2614186,0.3126937,0.01480387,0.002297065,0.002634021,0.009580761,0.01139979,0.01149016,0.005534881,0.2041633,0.0009895068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01154833,0.0002494369,0.00283106,0.0001068637,0.00008318662,0.9831102,0.001172229,0.00003196705,0.0008666885],"genre_scores_gemma":[0.007211617,0.0001646422,0.004167385,0.0001264251,0.00003139037,0.9874495,0.0005470629,0.000005108366,0.0002968739],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03439312,"threshold_uncertainty_score":0.1818904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4365731503262237,"score_gpt":0.5862531683346167,"score_spread":0.149680018008393,"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."}}