{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001419203,0.0006445171,0.0006610192,0.0004103749,0.0002709221,0.0007155103,0.001520771,0.0006717344,0.004517098],"category_scores_gemma":[0.0047615,0.0002277215,0.0009450602,0.0003338623,0.0002611208,0.000460442,0.0006207447,0.001005897,0.0005698237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153262,"about_ca_system_score_gemma":0.002207316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04436119,"about_ca_topic_score_gemma":0.03154557,"domain_scores_codex":[0.9995951,0.0001742101,0.00001983409,0.00008482773,0.00007196654,0.00005412669],"domain_scores_gemma":[0.9982712,0.0009572139,0.0001016889,0.0001247364,0.0004535943,0.00009146054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000485988,0.0002975844,0.01201149,0.000217657,0.0002313233,0.000120374,0.00003530586,0.9479044,0.0007561053,0.003314753,0.00535132,0.02927371],"study_design_scores_gemma":[0.00005676541,0.0001171499,0.001653255,0.0000194119,0.00007434929,0.00003671788,0.00001614303,0.9947869,0.0004674963,0.001199844,0.001563481,0.000008521899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7286524,0.00205071,0.2153142,0.002762547,0.0007683759,0.0007475173,0.01601666,0.003173395,0.03051421],"genre_scores_gemma":[0.9234322,0.0005751017,0.06001814,0.0003303448,0.00007289353,0.0003934436,0.00737251,0.0002301224,0.007575184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04436119,"threshold_uncertainty_score":0.08820593,"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."}}