{"id":"W3034428807","doi":"10.1016/j.lungcan.2020.06.005","title":"ALK-rearranged lung adenocarcinoma transformation into high-grade large cell neuroendocrine carcinoma: Clinical and molecular description of two cases","year":2020,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Adenocarcinoma; Internal medicine; Neuroendocrine carcinoma; Oncology; Lung; Lung cancer; Mutation; Carcinoma; Small Cell Lung Carcinoma; Large cell; Transformation (genetics); Cancer research; Pathology; Small-cell carcinoma; Cancer; Gene; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009120467,0.0002484174,0.0005485472,0.0001251628,0.00007740329,0.0000249231,0.000136043,0.00001508188,0.0000927274],"category_scores_gemma":[0.0001606508,0.0002307099,0.0001453084,0.0003372192,0.0001601477,0.0003043027,0.00007909122,0.0004733062,0.000004606954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007030607,"about_ca_system_score_gemma":0.0001409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009009312,"about_ca_topic_score_gemma":0.0001289387,"domain_scores_codex":[0.9977244,0.000204584,0.0006034105,0.0004903989,0.0005063143,0.0004708875],"domain_scores_gemma":[0.9989032,0.0001037374,0.0001425204,0.0002783151,0.0001394774,0.0004327704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001766813,0.0004198838,0.8309615,0.003549177,0.0001256851,0.007937683,0.0008309854,0.00007465249,0.1490956,0.0003847691,0.003551606,0.001301632],"study_design_scores_gemma":[0.05031623,0.004707523,0.3330359,0.0005187696,0.001876553,0.00238083,0.0009048223,0.03646057,0.5589657,0.0002398536,0.009486527,0.001106621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824983,0.008117014,0.0006483797,0.007207732,0.0001920954,0.0009936019,0.00005835004,0.00008143469,0.0002030886],"genre_scores_gemma":[0.9966287,0.00096963,0.0005369355,0.001390163,0.0002239026,0.00008315423,0.00004420929,0.00005425045,0.00006902868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4979255,"threshold_uncertainty_score":0.9408077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394447502526472,"score_gpt":0.3577773740189569,"score_spread":0.3238328989936922,"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."}}