{"id":"W4405834584","doi":"10.3390/curroncol32010013","title":"Trends in Real-World Clinical Outcomes of Patients with Anaplastic Lymphoma Kinase (ALK) Rearranged Non-Small Cell Lung Cancer (NSCLC) Receiving One or More ALK Tyrosine Kinase Inhibitors (TKIs): A Cohort Study in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Waterloo; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Government of Ontario","keywords":"Anaplastic lymphoma kinase; Medicine; Lung cancer; Tyrosine kinase; Crizotinib; Oncology; Internal medicine; Receptor Protein-Tyrosine Kinases; Cancer research; Tyrosine-kinase inhibitor; Alectinib; Protein-Tyrosine Kinases; Cancer; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006004677,0.000259699,0.0004312091,0.0009118736,0.001057275,0.001030531,0.0008922163,0.0004685212,0.0009201079],"category_scores_gemma":[0.001816809,0.0002916224,0.000741771,0.002914361,0.000596999,0.000478734,0.0006558538,0.0005794877,0.0001440726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01501134,"about_ca_system_score_gemma":0.01050239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9468252,"about_ca_topic_score_gemma":0.961741,"domain_scores_codex":[0.9990668,0.00006944357,0.0000875351,0.0002117444,0.0002804034,0.0002841189],"domain_scores_gemma":[0.9971188,0.0001372028,0.001194682,0.0001247699,0.0008860446,0.0005384407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008590224,0.00001241761,0.9986803,0.0000108467,0.00004671974,0.00003514246,0.0001483275,0.00006290043,0.00009680694,0.00001955256,0.0002146022,0.0005864704],"study_design_scores_gemma":[0.000006700441,0.00001816922,0.9992751,0.000006203406,0.0000155898,0.00003657893,0.0002203811,0.0001502151,0.0000171259,0.000006789588,0.0002418959,0.000005109507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947799,0.0003447575,0.00004768765,0.0001490454,0.00000477907,0.00002175377,0.004068424,0.000004459514,0.0005791562],"genre_scores_gemma":[0.9977551,0.0001871659,0.00005266656,0.0000378626,0.000004112873,0.00001240353,0.001749782,0.000001747401,0.0001991524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05317479,"threshold_uncertainty_score":0.1089153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04624453063011499,"score_gpt":0.4003009195504867,"score_spread":0.3540563889203717,"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."}}