{"id":"W3080411100","doi":"","title":"Family History: Effectiveness in Identifying Families at High Risk for Pediatric Onset Cancer Predisposition Syndromes","year":2020,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Family history; Referral; Medicine; Cancer; Family medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01732174,0.0008535546,0.0009514372,0.003159932,0.0005920276,0.001765266,0.0008385805,0.0008382326,0.004727734],"category_scores_gemma":[0.06518854,0.0004370893,0.001017022,0.001605112,0.0003040493,0.00174585,0.001306627,0.000783088,0.00100773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000666526,"about_ca_system_score_gemma":0.0007857206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305386,"about_ca_topic_score_gemma":0.009104767,"domain_scores_codex":[0.9891583,0.007028555,0.0008014076,0.000952188,0.001784802,0.0002748329],"domain_scores_gemma":[0.9349344,0.052522,0.005748965,0.00177243,0.003461834,0.001560347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001155257,0.0001811809,0.852727,0.0006174382,0.0004628599,0.0003496718,0.0008653561,0.0007338651,0.0004384402,0.000248031,0.005732132,0.1364888],"study_design_scores_gemma":[0.0001401541,0.001644764,0.9520519,0.001729578,0.00169014,0.00454139,0.001750727,0.01641783,0.002253334,0.001265987,0.01633427,0.0001799046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388877,0.01719057,0.01017164,0.00471777,0.0004345624,0.0005936873,0.006969968,0.000846692,0.02018725],"genre_scores_gemma":[0.9705135,0.004234924,0.02059805,0.000533065,0.0002011882,0.0002278301,0.001501359,0.00007010834,0.002119959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732174,"threshold_uncertainty_score":0.09160727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332129409236438,"score_gpt":0.2654641072250012,"score_spread":0.2322511663013574,"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."}}