{"id":"W2925139051","doi":"10.1016/j.jtho.2019.03.007","title":"Updated Efficacy and Safety Data and Impact of the EML4-ALK Fusion Variant on the Efficacy of Alectinib in Untreated ALK-Positive Advanced Non–Small Cell Lung Cancer in the Global Phase III ALEX Study","year":2019,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":491,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Merck Sharp and Dohme; Genentech; F. Hoffmann-La Roche; Amgen; Ariad Pharmaceuticals; Roche; Novartis; Celgene; Bristol-Myers Squibb; AstraZeneca; Pfizer; AbbVie; Merck","keywords":"Alectinib; Medicine; Lung cancer; Crizotinib; Oncology; Internal medicine; Cancer research","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":[0.0008501753,0.0001674589,0.0005798031,0.0001010224,0.00006758477,0.000009902717,0.0002821469,0.00008271818,0.00005833247],"category_scores_gemma":[0.0001118061,0.00007306245,0.00006835082,0.0004748235,0.00008926426,0.00008248332,0.0001201639,0.0003598084,3.340352e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004670945,"about_ca_system_score_gemma":0.0007290599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008148259,"about_ca_topic_score_gemma":0.0006822101,"domain_scores_codex":[0.9982459,0.0005353066,0.0005995787,0.0002154903,0.0002191368,0.0001845783],"domain_scores_gemma":[0.9980102,0.0006791332,0.0006800909,0.0004216589,0.0001466893,0.00006224732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07940067,0.02353687,0.6442787,0.0001632163,0.003032545,0.0007233075,0.03783946,0.004763978,0.01454678,0.00003804474,0.00069111,0.1909853],"study_design_scores_gemma":[0.0302048,0.007596022,0.9545509,0.0004934862,0.001373475,0.0002166999,0.003645932,0.001317605,0.0003526843,0.00001054452,0.0001515456,0.00008626714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941905,0.000612337,0.00001043805,0.001867264,0.0001519361,0.00198448,0.0001646415,0.000002114677,0.001016304],"genre_scores_gemma":[0.9994185,0.0002570551,0.00006387488,0.000143572,0.00003987213,0.000007212532,0.00001840373,0.000009440504,0.00004208929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3102722,"threshold_uncertainty_score":0.29794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789835229157475,"score_gpt":0.4489390676521736,"score_spread":0.4310407153605988,"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."}}