{"id":"W2464278690","doi":"10.1634/theoncologist.2015-0433","title":"Cost-Effectiveness Analysis of Using Loss of Heterozygosity to Manage Premalignant Oral Dysplasia in British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"The Oncologist","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"Terry Fox Research Institute; Provincial Health Services Authority; Canadian Cancer Society; Genome British Columbia; Canadian Centre for Applied Research in Cancer Control","keywords":"Loss of heterozygosity; Medicine; Dysplasia; Internal medicine; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000679317,0.00008316809,0.0005369897,0.00005799357,0.00008992933,0.00001080517,0.0002116149,0.00009209374,0.0001164214],"category_scores_gemma":[0.000065678,0.00007378331,0.0000804482,0.0004150161,0.0002165256,0.00003869376,0.00011384,0.00007063045,0.000005707877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672921,"about_ca_system_score_gemma":0.0001892273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564103,"about_ca_topic_score_gemma":0.9988067,"domain_scores_codex":[0.998382,0.0005744643,0.0003644151,0.0002401463,0.0001685474,0.0002704453],"domain_scores_gemma":[0.9989271,0.000412196,0.0002064472,0.0003287754,0.00006320981,0.00006224313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172238,0.0002001867,0.9934603,0.00006188137,0.0002286435,0.000943853,0.00003730661,0.0002742765,0.0003890899,0.00001270434,0.00005376577,0.00422078],"study_design_scores_gemma":[0.0007857612,0.0001543833,0.9975809,0.0001024802,0.0003560463,0.00004206302,0.00005024746,0.00004240303,0.0006678479,0.00004972783,0.00008843546,0.00007966429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982406,0.00004565354,0.0002318617,0.00006419668,0.0002116688,0.0006829038,0.0004018567,0.000008711803,0.0001125452],"genre_scores_gemma":[0.9994742,0.000007145848,0.0001182128,0.00006451361,0.000007974792,0.00004665528,0.000006353779,0.000007003443,0.0002679949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04239625,"threshold_uncertainty_score":0.3008796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110671640983808,"score_gpt":0.3581823434294465,"score_spread":0.2970756270196085,"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."}}