{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001679898,0.0001664017,0.0001503741,0.00008362271,0.0002386635,0.00004403045,0.0001073768,0.0001331671,0.00002605487],"category_scores_gemma":[0.00005922267,0.0001636315,0.00009042968,0.0001310956,0.00003165963,0.000004068946,0.00005732201,0.0001243317,0.00001861276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527082,"about_ca_system_score_gemma":0.0001113364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003804467,"about_ca_topic_score_gemma":0.0006036097,"domain_scores_codex":[0.9988265,0.00007285022,0.000215057,0.0003554152,0.0001543019,0.0003758532],"domain_scores_gemma":[0.9993465,0.00001171952,0.0001367766,0.0002868076,0.00005611247,0.0001620812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001779455,0.001698695,0.4039194,0.0004513023,0.0001316033,0.0003565503,0.0007695658,0.0002347022,0.001340972,0.007923047,0.5448243,0.03817193],"study_design_scores_gemma":[0.01033522,0.002017995,0.2223313,0.00002861242,0.0001535377,0.003210662,0.002907087,0.0006988434,0.00483504,0.002495887,0.7483131,0.002672765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957292,0.01226328,0.005997313,0.01123961,0.0008488021,0.0006350914,0.0002033315,0.00009769,0.01142287],"genre_scores_gemma":[0.993656,0.0004721396,0.0002766077,0.002825117,0.0009971977,0.00001233634,0.0008595362,0.00002703646,0.0008740668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2034888,"threshold_uncertainty_score":0.6672698,"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."}}