{"id":"W3138270384","doi":"10.1016/j.jtho.2021.01.031","title":"ES12.02 Defining High Risk","year":2021,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Medicine; Risk analysis (engineering)","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":[0.0008731285,0.0003516073,0.0003926709,0.001215169,0.0004448203,0.001358159,0.0005364178,0.001038275,0.03084659],"category_scores_gemma":[0.002240901,0.0001205002,0.0003744572,0.001429836,0.0003618149,0.0005415241,0.0006349652,0.0009551812,0.004355855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734475,"about_ca_system_score_gemma":0.0007846372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737049,"about_ca_topic_score_gemma":0.002899974,"domain_scores_codex":[0.9994687,0.0001351819,0.00005069342,0.00007455281,0.0001125236,0.0001584017],"domain_scores_gemma":[0.9986112,0.0003162175,0.0002957263,0.00006680907,0.0002166805,0.0004933303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001538503,0.0002862646,0.894543,0.0001553315,0.0001476166,0.0005058034,0.0001273612,0.0002573446,0.001456353,0.002618452,0.03660469,0.06175932],"study_design_scores_gemma":[0.0002238838,0.0003213218,0.923699,0.0003357947,0.0002849448,0.003129481,0.0005130777,0.000791394,0.0009500324,0.00460231,0.06511344,0.0000352438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7610756,0.005411452,0.001191517,0.008670838,0.001181661,0.0001510969,0.02925355,0.0001352979,0.192929],"genre_scores_gemma":[0.9557031,0.00182824,0.001652595,0.002372766,0.000977968,0.000131659,0.01915183,0.00009956882,0.01808215],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03084659,"threshold_uncertainty_score":0.1031922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06236138591952019,"score_gpt":0.4538612868197403,"score_spread":0.3914999009002201,"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."}}