{"id":"W2008960928","doi":"10.5858/arpa.2013-0232-cp","title":"Template for Reporting Results of Biomarker Testing of Specimens From Patients With Non–Small Cell Carcinoma of the Lung","year":2013,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Cancer Care Ontario","funders":"","keywords":"Reimbursement; Biomarker; Scope (computer science); Test (biology); Medicine; Discretion; Medical physics; Template; Medical education; Computer science; Health care; Political science; 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":[0.02847731,0.001000711,0.0009869834,0.004411933,0.001083966,0.001934554,0.002397871,0.00296724,0.01918152],"category_scores_gemma":[0.122159,0.00082007,0.00143481,0.002099848,0.0008130082,0.001477422,0.001491049,0.002321008,0.01464616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273105,"about_ca_system_score_gemma":0.006835803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004304061,"about_ca_topic_score_gemma":0.005772633,"domain_scores_codex":[0.9737476,0.01163722,0.009166544,0.000700822,0.004034485,0.0007132474],"domain_scores_gemma":[0.8426297,0.08303645,0.01938436,0.01481662,0.03807457,0.002058207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007986699,0.0005034573,0.01211989,0.001880805,0.00007083482,0.001698951,0.001588926,0.001884011,0.004700169,0.01078649,0.7246652,0.2393027],"study_design_scores_gemma":[0.0002640205,0.0005235609,0.02248025,0.002897177,0.0001536661,0.004997713,0.0009499822,0.004645786,0.01584114,0.01364489,0.9333666,0.0002351196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03485952,0.004839942,0.487271,0.06456286,0.01556424,0.05996327,0.10519,0.02764481,0.2001044],"genre_scores_gemma":[0.08129295,0.003909913,0.7463373,0.03202784,0.003488325,0.02988907,0.05298217,0.003111508,0.04696091],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02847731,"threshold_uncertainty_score":0.1506042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052770657167475,"score_gpt":0.2804564880868605,"score_spread":0.2599287815151858,"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."}}