{"id":"W1837617056","doi":"","title":"Epidermal growth factor receptor (EGFR) in lung cancer: an overview and update.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":389,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Epidermal growth factor receptor; Cancer research; Autophosphorylation; Receptor tyrosine kinase; Tyrosine kinase; Epidermal growth factor; GRB2; Tropomyosin receptor kinase C; Growth factor receptor; Platelet-derived growth factor receptor; Gefitinib; ROR1; Biology; Signal transduction; Growth factor receptor inhibitor; Medicine; Cell biology; Internal medicine; Cancer; Receptor; Growth factor; Kinase; Protein kinase A","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":[0.00008054153,0.0001038026,0.0001843703,0.00007084217,0.00004040166,0.00002133683,0.00004244858,0.00006159746,0.0002893806],"category_scores_gemma":[0.00004482663,0.00008204578,0.00002648147,0.0001149247,0.00003454481,0.0001827129,0.00001805087,0.0001534398,0.000004336648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010066,"about_ca_system_score_gemma":0.00007151801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009345674,"about_ca_topic_score_gemma":0.001041724,"domain_scores_codex":[0.9992601,0.00001987957,0.0001459808,0.0002137006,0.0001021737,0.0002581962],"domain_scores_gemma":[0.9995264,0.00002185704,0.00003936206,0.0001491726,0.0000391744,0.0002239657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005661835,0.0001817771,0.7608877,0.0001576752,0.0001034067,0.00001788219,0.0004539384,3.110569e-7,0.0003390052,0.001061518,0.002172431,0.2345677],"study_design_scores_gemma":[0.001465057,0.0000169885,0.9806696,0.00001901114,0.00008826517,0.000008731438,0.00002192269,0.00002829151,0.0005689087,0.00006429199,0.0169551,0.00009389169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896182,0.003481464,0.000002637676,0.004570784,0.0004322174,0.0008577617,0.00007131463,0.00004238,0.0009231869],"genre_scores_gemma":[0.9951027,0.001706646,0.0002305416,0.0008889209,0.0002023488,0.001325417,0.00005407299,0.00001791124,0.00047144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2344738,"threshold_uncertainty_score":0.334573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782150552786074,"score_gpt":0.3281403449556285,"score_spread":0.3003188394277678,"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."}}