{"id":"W2945728263","doi":"10.1016/j.jtho.2019.03.001","title":"Improving Surveillance following Treatment for Lung Cancer","year":2019,"lang":"en","type":"letter","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Lung cancer; Randomized controlled trial; Cancer; Surgery; Oncology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845766,0.0004564747,0.0009011371,0.0008578913,0.004277603,0.003461015,0.001125686,0.04027741,0.007806085],"category_scores_gemma":[0.02867568,0.0005386976,0.001014595,0.0007664429,0.001559358,0.00229452,0.002260175,0.0257029,0.003942033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006269365,"about_ca_system_score_gemma":0.008405224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01565577,"about_ca_topic_score_gemma":0.03503705,"domain_scores_codex":[0.9966359,0.001028282,0.0004855642,0.0002904703,0.0006850204,0.0008748053],"domain_scores_gemma":[0.9875458,0.005692552,0.001331005,0.000305415,0.001782749,0.003342511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009019332,0.0001008408,0.006390256,0.00009734456,0.00002316314,0.004154791,0.0002965744,0.0001227845,0.0004289681,0.001545992,0.9576076,0.02914158],"study_design_scores_gemma":[0.0003271314,0.0003722404,0.02075128,0.001506851,0.0001288874,0.009272422,0.001886333,0.001696659,0.0008056777,0.0109979,0.9521289,0.0001257704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008111442,0.0006424379,0.00004199078,0.9884721,0.006873697,0.000008866567,0.00003489292,0.00001190127,0.003102982],"genre_scores_gemma":[0.01137349,0.001383702,0.0002479354,0.9451653,0.03314893,0.00003518034,0.00005786723,0.00001893506,0.008568634],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04027741,"threshold_uncertainty_score":0.04548764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02793530420935066,"score_gpt":0.4339105668668324,"score_spread":0.4059752626574817,"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."}}