{"id":"W1983651288","doi":"10.3747/co.19.1132","title":"Personalized medicine in metastatic non-small-cell lung cancer: promising targets and current clinical trials","year":2012,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Lung cancer; Clinical trial; Oncology; Disease; Precision medicine; Personalized medicine; Internal medicine; Quality of life (healthcare); Cancer; Stage (stratigraphy); Targeted therapy; Chemotherapy; Intensive care medicine; Bioinformatics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01142441,0.0006482713,0.002126327,0.0005963174,0.0004458276,0.002530802,0.00100546,0.002320219,0.006080179],"category_scores_gemma":[0.006394825,0.0001978459,0.001219689,0.001011088,0.001300454,0.004202014,0.0009546867,0.004397442,0.000869664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008903171,"about_ca_system_score_gemma":0.001539258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003589417,"about_ca_topic_score_gemma":0.001454345,"domain_scores_codex":[0.998246,0.001071311,0.0001298001,0.0001347927,0.0003231853,0.00009493894],"domain_scores_gemma":[0.9936897,0.004978517,0.0003481981,0.0001488361,0.0004965477,0.0003382282],"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":[0.002180883,0.0005758158,0.001339715,0.006021204,0.0004340301,0.0003344596,0.0001826073,0.001490995,0.001957271,0.0128836,0.02478605,0.9478134],"study_design_scores_gemma":[0.004891092,0.01633037,0.01425125,0.03048318,0.002410017,0.002076861,0.001109517,0.006132619,0.003925005,0.1083252,0.8098112,0.0002537398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004681233,0.9355358,0.003123831,0.05093248,0.001090329,0.0001412736,0.0000988822,0.00005458409,0.004341582],"genre_scores_gemma":[0.04606791,0.9184893,0.008512323,0.02050174,0.004058356,0.0002728662,0.0002246431,0.00003328664,0.001839608],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01142441,"threshold_uncertainty_score":0.06041878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2671861116713615,"score_gpt":0.5732445284416359,"score_spread":0.3060584167702744,"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."}}