{"id":"W3170924153","doi":"10.1093/pch/11.4.239a","title":"Case 2: “My, how you have grown!”","year":2006,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Sexual Differentiation and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005058728,0.002612113,0.001191808,0.001779574,0.004957536,0.0020357,0.001984483,0.007103979,0.01075375],"category_scores_gemma":[0.004344436,0.0008320466,0.001755792,0.002478561,0.001914346,0.003054042,0.003047603,0.005963861,0.003300199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562406,"about_ca_system_score_gemma":0.001196936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00521544,"about_ca_topic_score_gemma":0.00479622,"domain_scores_codex":[0.9986355,0.0002063415,0.00008418571,0.0003037855,0.0002354306,0.0005347015],"domain_scores_gemma":[0.9989414,0.0001759615,0.0002243681,0.00009986364,0.0001197787,0.000438687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0000365984,0.00007575926,0.003694556,0.00003267451,0.000008577778,0.9884652,0.0005862214,0.00005779097,0.0003857101,0.000720591,0.003624505,0.002311812],"study_design_scores_gemma":[0.000009260038,0.00004134055,0.001378908,0.00003523875,0.000006361503,0.9940748,0.0004889659,0.0001308362,0.0001261941,0.0003984256,0.003297815,0.00001196731],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082705,0.007540427,0.007636642,0.0477411,0.004353502,0.0006806357,0.001036008,0.0006296136,0.1221116],"genre_scores_gemma":[0.9403043,0.002361008,0.004989293,0.01715154,0.002074456,0.0002372097,0.0004966715,0.0002681161,0.03211737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075375,"threshold_uncertainty_score":0.03597486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140677596084925,"score_gpt":0.2542704996782816,"score_spread":0.2428637237174323,"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."}}