{"id":"W3117385517","doi":"10.1093/jnci/djaa199","title":"Screening for Nasopharyngeal Cancer in High-Risk Populations: A Small Price to Pay for Early Disease Identification?","year":2020,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Identification (biology); Medicine; Disease; Cancer; Oncology; Actuarial science; Internal medicine; Business; Biology","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":[0.007103248,0.0009733319,0.002565319,0.001835395,0.001103986,0.004801256,0.002923749,0.01362252,0.0592421],"category_scores_gemma":[0.06579503,0.0006944663,0.002061096,0.001583377,0.003243752,0.009797643,0.002414439,0.01124788,0.005844015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002181161,"about_ca_system_score_gemma":0.005633713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219138,"about_ca_topic_score_gemma":0.01161949,"domain_scores_codex":[0.9953755,0.002015847,0.0003240208,0.0004397745,0.001090791,0.0007539259],"domain_scores_gemma":[0.9653067,0.01997396,0.002297054,0.001340412,0.003302942,0.007778816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003194694,0.00106107,0.0266218,0.001240067,0.0009980442,0.001455513,0.0003508622,0.001131568,0.001937376,0.01836431,0.5305099,0.4131348],"study_design_scores_gemma":[0.01460192,0.005076884,0.2286537,0.01480217,0.006309566,0.009906605,0.009145637,0.01007926,0.001787548,0.1646199,0.5337514,0.001265478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01709251,0.01763521,0.001662926,0.9327177,0.01596386,0.0001022434,0.0005848465,0.0001813928,0.01405923],"genre_scores_gemma":[0.4175997,0.03317632,0.006921576,0.4683195,0.05868533,0.0003613545,0.00150499,0.0003329271,0.01309827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0592421,"threshold_uncertainty_score":0.1981845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142172209094577,"score_gpt":0.3933603376282448,"score_spread":0.2511881285336678,"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."}}