{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172627,0.0007167161,0.0004477211,0.00126234,0.0004398767,0.001774542,0.0007073693,0.001522883,0.03216428],"category_scores_gemma":[0.001476967,0.0002953094,0.0003109361,0.0007176853,0.001148763,0.002239672,0.001330696,0.002876214,0.01787412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108647,"about_ca_system_score_gemma":0.001065718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118358,"about_ca_topic_score_gemma":0.003603516,"domain_scores_codex":[0.9997367,0.00005905408,0.0000116636,0.00003069657,0.0001435587,0.00001817004],"domain_scores_gemma":[0.999643,0.0002220172,0.00001360232,0.00002284998,0.00006422919,0.00003430862],"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":[0.00001318181,0.00003068356,0.00008833956,0.0003432359,0.000006214086,0.0001632069,0.0001481776,0.0003614285,0.0007310669,0.07680644,0.5075615,0.4137465],"study_design_scores_gemma":[0.000002342886,0.00000660169,0.00008435542,0.0003100125,0.000002556488,0.000419242,0.00002645364,0.0001026695,0.0001659525,0.03003611,0.9688393,0.000004507925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006437639,0.3009464,0.01824681,0.02439441,0.01179325,0.0000746994,0.0003831412,0.0003907069,0.6431268],"genre_scores_gemma":[0.006450805,0.1734985,0.0102358,0.01677871,0.006646387,0.000120213,0.0004097973,0.0002710394,0.7855887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03216428,"threshold_uncertainty_score":0.1076002,"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."}}