{"id":"W2530924785","doi":"10.1016/b978-0-12-800886-7.00023-6","title":"Molecular Testing in Lung Cancer","year":2016,"lang":"en","type":"book-chapter","venue":"Diagnostic Molecular Pathology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Anaplastic lymphoma kinase; Lung cancer; Medicine; Epidermal growth factor receptor; Personalized medicine; Molecular diagnostics; Tyrosine kinase; Cancer; Epitome; Companion diagnostic; Precision medicine; Pathology; Bioinformatics; Cancer research; Biology; Internal medicine; Receptor; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008416695,0.0004198279,0.0006584825,0.0003060367,0.00003717399,0.0000104529,0.0001120147,0.0004391822,0.0004526136],"category_scores_gemma":[0.0007956256,0.0003533628,0.0001691817,0.00006646085,0.0001296624,0.00002433962,0.00007926939,0.0003529087,0.00009986229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003991782,"about_ca_system_score_gemma":0.0004756007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004535697,"about_ca_topic_score_gemma":0.00002534723,"domain_scores_codex":[0.9982188,0.00003754849,0.0004170151,0.0006631798,0.0002418408,0.0004215746],"domain_scores_gemma":[0.9984815,0.0004933369,0.0001837145,0.0005125803,0.0001664312,0.0001624719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001584499,0.0005987901,0.06461163,0.001531805,0.002612385,0.3832113,0.0006951267,0.000392348,0.0302631,0.3245111,0.003002841,0.1884111],"study_design_scores_gemma":[0.08181504,0.008740613,0.1451828,0.09151011,0.05104933,0.0181335,0.0001275408,0.001156837,0.0270658,0.227711,0.3309921,0.01651532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02397656,0.03393852,0.002888245,0.002697403,0.0007718116,0.002415348,0.000311263,0.0001564493,0.9328444],"genre_scores_gemma":[0.7275445,0.004923241,0.005739748,0.01220954,0.0009193225,0.002948248,0.0008595892,0.001016744,0.2438391],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7035679,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303027373549892,"score_gpt":0.3128051678135373,"score_spread":0.2997748940780384,"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."}}