{"id":"W2937704370","doi":"10.1016/j.lungcan.2019.04.006","title":"First-line afatinib for advanced EGFRm+ NSCLC: Analysis of long-term responders in the LUX-Lung 3, 6, and 7 trials","year":2019,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Boehringer Ingelheim","keywords":"Afatinib; Medicine; Term (time); Oncology; Internal medicine; Gefitinib; Cancer; Astronomy","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":[0.0004761673,0.0001372626,0.0006442468,0.0002470009,0.00004793632,0.00001435223,0.00007668053,0.00006163002,0.0002680413],"category_scores_gemma":[0.0001354571,0.00008697412,0.0002015421,0.0005898029,0.00003730158,0.0000784144,0.00001380033,0.00007514421,7.775542e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770854,"about_ca_system_score_gemma":0.0001541792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002482323,"about_ca_topic_score_gemma":0.001438866,"domain_scores_codex":[0.9988598,0.00006816713,0.0004202929,0.0002665171,0.0001939948,0.0001912349],"domain_scores_gemma":[0.9986984,0.0006378219,0.0002124181,0.0003127877,0.00009055847,0.00004799844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002818264,0.0002277842,0.9633772,0.0007583712,0.005072991,0.00001167038,0.004794656,0.003606764,0.001173692,0.0003430462,0.0009011936,0.0169144],"study_design_scores_gemma":[0.01683758,0.0004521326,0.9553209,0.0006704951,0.01526008,0.000003234174,0.0006313616,0.007828711,0.0007392464,0.00005185701,0.001966064,0.0002383284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865708,0.007272365,0.0005200356,0.002087789,0.0002163761,0.002369985,0.0001987229,0.00001428507,0.0007496772],"genre_scores_gemma":[0.9960747,0.0008201147,0.0002649596,0.0004570824,0.00007954302,0.0004836479,0.0001337667,0.00001735271,0.001668805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01667608,"threshold_uncertainty_score":0.3546702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130357438398415,"score_gpt":0.4238187698056362,"score_spread":0.392515195421652,"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."}}