{"id":"W3113469765","doi":"10.3747/co.27.5995","title":"Comprehensive Genomic Profiling for Non-Small-Cell Lung Cancer: Health and Budget Impact","year":2020,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Roche (Canada); William Osler Health System; Vancouver Coastal Health","funders":"","keywords":"Medicine; Hotspot (geology); Turnaround time; Oncology; Bioinformatics; Internal medicine; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002380368,0.0008690357,0.0002601421,0.001314692,0.0009852889,0.00220303,0.001006314,0.0007129129,0.003742317],"category_scores_gemma":[0.00574414,0.0002431299,0.001034463,0.002857703,0.0008740503,0.001064259,0.001227118,0.0007633454,0.0002048584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06706914,"about_ca_system_score_gemma":0.07705763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.945276,"about_ca_topic_score_gemma":0.9562755,"domain_scores_codex":[0.997339,0.0007615135,0.00006526127,0.0001744508,0.0009556914,0.0007040935],"domain_scores_gemma":[0.9969378,0.0007507957,0.0003809604,0.00007988281,0.001404751,0.0004457813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001133604,0.0002497049,0.2879419,0.001214312,0.0009457415,0.001092746,0.0008658495,0.4109815,0.004510095,0.04060898,0.03469203,0.2157635],"study_design_scores_gemma":[0.0003352299,0.00113281,0.5522217,0.001155234,0.0014044,0.001050037,0.007159235,0.276528,0.003841305,0.02392685,0.130906,0.0003393407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.78735,0.01035885,0.01752721,0.03058011,0.0001991853,0.001117229,0.02918023,0.0002703062,0.1234169],"genre_scores_gemma":[0.9852423,0.003030905,0.006478257,0.0005775538,0.00002267364,0.00006969523,0.002396123,0.00001576378,0.002166758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945276,"threshold_uncertainty_score":0.486623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08430206606633102,"score_gpt":0.4645519201693238,"score_spread":0.3802498541029928,"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."}}