{"id":"W2187920436","doi":"","title":"Where next for gefi tinib in patients with lung cancer","year":2006,"lang":"en","type":"article","venue":"","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Erlotinib; Lung cancer; Clinical trial; Oncology; Internal medicine; Placebo; Cancer; Intensive care medicine; Alternative medicine; Epidermal growth factor receptor; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243774,0.0002621956,0.0008081937,0.0005716093,0.001516817,0.002313921,0.000503685,0.003050476,0.02296329],"category_scores_gemma":[0.002721563,0.0001672477,0.0007770598,0.0003816007,0.0007847609,0.003990182,0.0007039379,0.00326689,0.007376987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658374,"about_ca_system_score_gemma":0.001823141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644949,"about_ca_topic_score_gemma":0.006275309,"domain_scores_codex":[0.99935,0.0002784122,0.0000667949,0.00008162245,0.0000957051,0.0001274916],"domain_scores_gemma":[0.9988134,0.0002951888,0.00016035,0.00004613101,0.0001555255,0.0005294051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00208916,0.0006968416,0.01081066,0.001030422,0.000200002,0.003661196,0.0007049754,0.0001919242,0.002337746,0.006578041,0.4402743,0.5314248],"study_design_scores_gemma":[0.001630466,0.001455384,0.008153603,0.001259069,0.0002947965,0.004998249,0.001687216,0.000271645,0.001512347,0.01078892,0.9678242,0.000124226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03663357,0.160728,0.003160444,0.6372168,0.03669662,0.0003390161,0.0007903132,0.0004415243,0.1239938],"genre_scores_gemma":[0.3775088,0.100257,0.01065602,0.3816055,0.03568083,0.0004627764,0.0009473576,0.0004525639,0.09242915],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02296329,"threshold_uncertainty_score":0.07681984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007475610093341798,"score_gpt":0.3066020559001014,"score_spread":0.2991264458067596,"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."}}