{"id":"W7138431206","doi":"10.6084/m9.figshare.4332812","title":"Additional file 2: of The validity of pediatric cancer diagnoses in a population-based general cancer registry in Ontario, Canada","year":2016,"lang":"","type":"article","venue":"Figshare","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer registry; Medical diagnosis; Pediatric cancer; Cancer; Diagnosis code; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001272062,0.0006091624,0.0008777492,0.004100983,0.002147052,0.001328963,0.001572547,0.0005612794,0.3682537],"category_scores_gemma":[0.02505586,0.0004940665,0.001063111,0.009863464,0.000454925,0.0009602467,0.0008809688,0.0005753041,0.01782633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01266874,"about_ca_system_score_gemma":0.0268828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.932137,"about_ca_topic_score_gemma":0.9549119,"domain_scores_codex":[0.9984818,0.0001078379,0.0002735507,0.0002472282,0.000554934,0.0003347033],"domain_scores_gemma":[0.9734178,0.008375882,0.002452692,0.001543157,0.01327474,0.0009356241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001572273,0.00003573437,0.03603163,0.001145717,0.0000623637,0.00007839345,0.0002508595,0.0003880511,0.00008297389,0.0005353474,0.9552315,0.006000251],"study_design_scores_gemma":[0.00140146,0.0000578261,0.6700236,0.003444397,0.0002419511,0.0003548218,0.001816122,0.001895435,0.0006415207,0.001103244,0.3188668,0.0001527047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005798604,0.000008100468,0.00004442945,0.00005127506,0.000007082578,0.00004556012,0.9981501,0.00003007388,0.001083579],"genre_scores_gemma":[0.03887103,0.0001377379,0.001681799,0.0002843409,0.00003815208,0.001052286,0.9492889,0.0001711314,0.008474573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3682537,"threshold_uncertainty_score":0.9011095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2322961798361368,"score_gpt":0.376769960259041,"score_spread":0.1444737804229042,"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."}}