{"id":"W4229004609","doi":"10.1002/cam4.4789","title":"Association of anticoagulant use with clinical outcomes from crizotinib in <i>ALK</i><scp><i>‐</i></scp> and <i>ROS1</i>‐rearranged advanced non‐small cell lung cancers: A retrospective analysis of <scp>PROFILE</scp> 1001","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Cancer Center, University of Colorado; Pfizer","keywords":"Crizotinib; ROS1; Medicine; Internal medicine; Retrospective cohort study; Surrogate endpoint; Gastroenterology; Oncology; Hazard ratio; Lung cancer; Clinical trial; Anaplastic lymphoma kinase; Confidence interval; Cancer; Adenocarcinoma","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":[0.0006627289,0.0003676308,0.002012963,0.0005355783,0.0001263787,0.00001168169,0.0001619632,0.0001376124,0.0001428121],"category_scores_gemma":[0.0009950133,0.0002848292,0.0002326007,0.001833883,0.0002245959,0.0001471891,0.00008927088,0.0005451331,6.157612e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314383,"about_ca_system_score_gemma":0.0007310691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132796,"about_ca_topic_score_gemma":0.004742595,"domain_scores_codex":[0.9965572,0.0002055082,0.00110357,0.0007512744,0.000912921,0.0004694919],"domain_scores_gemma":[0.9958723,0.001712749,0.001167979,0.0005226136,0.0004685632,0.0002558407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341798,0.0003807196,0.9795911,0.0001364868,0.004293098,0.00005211561,0.007629285,0.0005610638,0.002875356,0.000009123122,0.003901402,0.0004361267],"study_design_scores_gemma":[0.01415023,0.001243974,0.9620594,0.000362907,0.01112144,0.000002252328,0.00648864,0.001084315,0.001284483,0.00001197532,0.002109422,0.00008098804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921605,0.002788644,0.0001446178,0.0005150024,0.0004634873,0.001220022,0.001085185,0.00003916,0.001583402],"genre_scores_gemma":[0.9930233,0.001649414,0.0008521397,0.0008864326,0.0001533462,0.0003569652,0.0005055528,0.00005644693,0.002516357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01753167,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218792812441873,"score_gpt":0.331051219277176,"score_spread":0.3088632911527572,"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."}}