{"id":"W2904479692","doi":"10.2196/11728","title":"Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Hypothalamic control of reproductive hormones","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Computer science; Central precocious puberty; Machine learning; Precocious puberty; Medicine; Retrospective cohort study; Pediatrics; Artificial intelligence; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008444829,0.000258416,0.0006411926,0.0001897129,0.0001931291,0.00001951689,0.0001468546,0.0001656632,0.00005736886],"category_scores_gemma":[0.0003972371,0.0001880188,0.00007301033,0.0002869639,0.0002524659,0.0003497598,0.00008893639,0.0004733029,0.000003293565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239412,"about_ca_system_score_gemma":0.0007531604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002942623,"about_ca_topic_score_gemma":0.00007641754,"domain_scores_codex":[0.9969758,0.00004314849,0.0009976634,0.0002452173,0.001216143,0.0005220754],"domain_scores_gemma":[0.998122,0.00005709908,0.0004292219,0.0003074303,0.0008019599,0.0002822967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006623809,0.00576752,0.5352839,0.001462747,0.004899933,0.00004785749,0.2884683,0.0004133606,0.002538235,0.0003643552,0.0003576487,0.1537724],"study_design_scores_gemma":[0.01087623,0.004656965,0.1019791,0.0003452668,0.0003832741,0.0001978892,0.008805447,0.8698487,0.001805241,0.00009827303,0.0006540962,0.0003495535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758082,0.00003488479,0.1208253,0.00008663478,0.0001406784,0.002576534,0.000017954,0.0001370104,0.0003727821],"genre_scores_gemma":[0.9204548,0.000006272978,0.07878213,0.00004443092,0.0003677814,0.0001262182,0.00006042415,0.0000355956,0.0001223302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8694354,"threshold_uncertainty_score":0.7667184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106274797333031,"score_gpt":0.300697433574542,"score_spread":0.2696346856012117,"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."}}