{"id":"W2418617356","doi":"10.1155/2016/1690482","title":"Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study","year":2016,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Pleural and Pulmonary Diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Western University","keywords":"Medicine; Pneumothorax; Algorithm; Database; Pediatrics; Surgery; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02793008,0.0006681322,0.0007693905,0.002108361,0.0007615617,0.001619117,0.001902738,0.0009847347,0.0008603656],"category_scores_gemma":[0.07636452,0.0004796679,0.001032795,0.002101747,0.0009126389,0.0009998574,0.001498932,0.0006231225,0.0004527883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721454,"about_ca_system_score_gemma":0.003705564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422898,"about_ca_topic_score_gemma":0.01263071,"domain_scores_codex":[0.9794803,0.01185931,0.002394912,0.001800251,0.003719093,0.0007460419],"domain_scores_gemma":[0.9291474,0.03443351,0.01026586,0.009641537,0.01484391,0.001667756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006573788,0.0006897313,0.9910532,0.0001252299,0.0001706979,0.00007676434,0.000439348,0.0004098143,0.0003500028,0.00006073446,0.0002439417,0.00572312],"study_design_scores_gemma":[0.0003621182,0.001270276,0.9903633,0.00008372381,0.0001851015,0.0004573707,0.0004812598,0.004918128,0.0008908943,0.00008103067,0.0008861431,0.00002067509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949792,0.0001162939,0.00160701,0.00004609645,0.00001192902,0.001152563,0.00163596,0.00002047815,0.0004304417],"genre_scores_gemma":[0.9882582,0.00009337028,0.004727795,0.0000764436,0.00001752342,0.0007716666,0.005974322,0.0000081274,0.00007241815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02793008,"threshold_uncertainty_score":0.1477101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09544955502336051,"score_gpt":0.3306338645861726,"score_spread":0.2351843095628121,"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."}}