{"id":"W2053907102","doi":"10.1016/j.ejca.2013.06.015","title":"The development of a clinical screening instrument for tumour predisposition syndromes in childhood cancer patients","year":2013,"lang":"en","type":"article","venue":"European Journal of Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Medicine; Geneticist; Referral; Cancer; Delphi method; Cohort; Pediatrics; Genetic predisposition; Family medicine; Internal medicine; Disease","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":[0.00572881,0.0003745115,0.0006020956,0.002060017,0.0006222575,0.001000319,0.0006004574,0.0005829686,0.00121426],"category_scores_gemma":[0.01577852,0.0002228519,0.0007280206,0.001127946,0.0003532975,0.0007205097,0.001441621,0.0008632944,0.0002451733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116408,"about_ca_system_score_gemma":0.002307391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986984,"about_ca_topic_score_gemma":0.004179685,"domain_scores_codex":[0.9972773,0.001313445,0.000523994,0.0001582757,0.0004589037,0.0002680266],"domain_scores_gemma":[0.9916763,0.003478943,0.001900936,0.0002796542,0.001995147,0.0006689669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003534386,0.0005990907,0.9615346,0.00007461776,0.00005836129,0.00008879045,0.0006129977,0.0003758151,0.0005859848,0.0003079817,0.001422026,0.03398624],"study_design_scores_gemma":[0.0001017872,0.0008837437,0.9920713,0.00006827118,0.00006972109,0.0002732309,0.0008969978,0.002055144,0.0008440565,0.0002357415,0.002481304,0.00001863339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9926122,0.0003313282,0.001399521,0.000560284,0.00006560471,0.001057613,0.0009586322,0.0000303097,0.002984456],"genre_scores_gemma":[0.9863099,0.0002729258,0.009234682,0.0002092996,0.00003038475,0.001420504,0.001866462,0.000009208997,0.0006467053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00572881,"threshold_uncertainty_score":0.03029722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564849369361007,"score_gpt":0.359055282305494,"score_spread":0.3034067886118839,"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."}}