{"id":"W4390568933","doi":"10.1002/j.1536-4801.2004.tb13160.x","title":"P0730 DESIGN OF PREDICTIVE MODELS FOR POSITIVE OUTCOMES OF UPPER AND LOWER GASTROINTESTINAL ENDOSCOPIES IN CHILDREN AND ADOLESCENTS","year":2004,"lang":"en","type":"article","venue":"Journal of Pediatric Gastroenterology and Nutrition","topic":"Gastrointestinal disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Medicine; Biostatistics; Pediatric gastroenterology; Citation; Epidemiology; Library science; Family medicine; Pediatrics; Internal medicine; Hepatology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06864271,0.002779739,0.00223258,0.004211494,0.001006925,0.002947023,0.003289422,0.001456014,0.008248645],"category_scores_gemma":[0.102703,0.001743014,0.0044494,0.00209428,0.001443038,0.001495047,0.003301253,0.002936797,0.001128171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091245,"about_ca_system_score_gemma":0.005430968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009425635,"about_ca_topic_score_gemma":0.004646366,"domain_scores_codex":[0.9661061,0.02916549,0.0008737254,0.002157636,0.0008984694,0.0007987198],"domain_scores_gemma":[0.8601813,0.1252703,0.00543383,0.002456485,0.00474897,0.001909057],"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":[0.01140044,0.001060461,0.869922,0.00034977,0.004300327,0.0003705519,0.0005147581,0.05796625,0.0002374806,0.00219828,0.004232377,0.04744707],"study_design_scores_gemma":[0.0008787952,0.002282447,0.06557205,0.0002266265,0.001460161,0.0003346711,0.0003666446,0.9222735,0.0004619285,0.004376658,0.001702282,0.00006430713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8327171,0.001130478,0.1508897,0.001598472,0.0003691792,0.004310214,0.004345126,0.001240129,0.003399666],"genre_scores_gemma":[0.9434857,0.0002300672,0.0487274,0.0001337586,0.0001404779,0.003024371,0.003288917,0.0000917165,0.0008776603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06864271,"threshold_uncertainty_score":0.3630217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008810038932898652,"score_gpt":0.2376347555883534,"score_spread":0.2288247166554548,"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."}}