{"id":"W2981392910","doi":"10.1016/j.lungcan.2019.10.019","title":"Development, validation and results from the impact of treatment evolution in non-small cell lung cancer (iTEN) model","year":2019,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatchewan Cancer Agency; Mount Sinai Hospital; McMaster University; Alberta Cancer Foundation; William Osler Health System; AstraZeneca (Canada)","funders":"AstraZeneca Canada","keywords":"Medicine; Lung cancer; Health care; Delphi method; Oncology; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001059767,0.0002057195,0.0003237447,0.00006242465,0.00004125676,0.00001487506,0.00005808841,0.00008062623,0.00008230218],"category_scores_gemma":[0.000006327697,0.0001238795,0.00008603548,0.0001507552,0.00002003467,0.00008257206,0.00002799317,0.00008179234,0.000003503347],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004190428,"about_ca_system_score_gemma":0.000909465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04008896,"about_ca_topic_score_gemma":0.003580523,"domain_scores_codex":[0.9988678,0.0000239048,0.0003597099,0.000365526,0.0001525081,0.0002305559],"domain_scores_gemma":[0.9992848,0.0000815061,0.0001881581,0.000299514,0.00007171315,0.00007429874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005128485,0.0002085382,0.9661305,0.00009636466,0.0003598246,0.000001813506,0.004151021,0.0227169,0.002617126,0.000007524395,0.0009359005,0.002261661],"study_design_scores_gemma":[0.008293582,0.0001914116,0.8917508,0.0008846549,0.0003963703,6.781276e-7,0.00009529199,0.09101322,0.007076841,0.00001750947,0.0001094896,0.0001701172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916834,0.005591128,0.00007629005,0.000354625,0.0001396412,0.001198645,0.000254088,0.00001379024,0.0006884509],"genre_scores_gemma":[0.9958878,0.002304,0.0004021287,0.00005791478,0.0000884639,0.0003847892,0.0001176433,0.00002292987,0.0007343117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07437964,"threshold_uncertainty_score":0.9996323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713428254140046,"score_gpt":0.3110321605195636,"score_spread":0.2938978779781631,"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."}}