{"id":"W3194096467","doi":"10.3390/curroncol28050284","title":"Reflex ROS1 IHC Screening with FISH Confirmation for Advanced Non-Small Cell Lung Cancer—A Cost-Efficient Strategy in a Public Healthcare System","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Reflex; KRAS; Biomarker; Lung cancer; Guideline; Fluorescence in situ hybridization; ROS1; Cancer; Population; Oncology; Internal medicine; Pathology; Adenocarcinoma; Biology; Gene","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":[0.003728301,0.0008723093,0.0008034597,0.001027187,0.0007746251,0.002303661,0.001242851,0.000726427,0.002560988],"category_scores_gemma":[0.007361943,0.0004944708,0.0007760485,0.0008147594,0.0006749717,0.0009947125,0.0010231,0.0009401928,0.0002465601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01857851,"about_ca_system_score_gemma":0.02789104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4898784,"about_ca_topic_score_gemma":0.5599458,"domain_scores_codex":[0.9981315,0.0007283188,0.00006406874,0.0002838099,0.0004398107,0.0003526275],"domain_scores_gemma":[0.9979252,0.001123972,0.0002242883,0.0000607917,0.0003931835,0.0002726668],"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":[0.00149483,0.0005894644,0.09105966,0.0004524706,0.0003546326,0.0009597634,0.0003261603,0.6511186,0.004579118,0.01342776,0.008265035,0.2273725],"study_design_scores_gemma":[0.0002410763,0.0007760836,0.02287945,0.0001329575,0.0002631876,0.0003976952,0.0005381506,0.9586915,0.0018449,0.008294112,0.005840302,0.0001005679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6808729,0.002917921,0.2708385,0.0141806,0.0001018519,0.002982905,0.003239429,0.001066693,0.0237992],"genre_scores_gemma":[0.9440351,0.0007551361,0.05253087,0.0005378285,0.00001605149,0.0001646074,0.0005334344,0.00002851373,0.001398426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4898784,"threshold_uncertainty_score":0.9740541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0715834885082691,"score_gpt":0.3749076231805532,"score_spread":0.3033241346722841,"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."}}