{"id":"W2035087424","doi":"10.1016/j.acra.2010.01.002","title":"Predicting Postoperative FEV1 Using Spiral Computed Tomography","year":2010,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Radiology; Scintigraphy; Perfusion scanning; Spiral computed tomography; Perioperative; Lung; Subtraction; Perfusion; Lung cancer; Nuclear medicine; Pulmonary function testing; Context (archaeology); Computed tomography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001503516,0.0001587851,0.0003428568,0.0002693245,0.0001016532,0.000004995456,0.00009619754,0.0003466667,0.00006750219],"category_scores_gemma":[0.00006069003,0.0001234438,0.00009777839,0.0003492968,0.0001677408,0.00006156039,0.00003901709,0.0009174168,0.00001467609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006972091,"about_ca_system_score_gemma":0.00008537214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001726468,"about_ca_topic_score_gemma":0.00001910093,"domain_scores_codex":[0.9989558,0.00004839044,0.0002581696,0.0003240746,0.00009888471,0.0003146381],"domain_scores_gemma":[0.9993966,0.0001146107,0.00008719941,0.000200399,0.00005701314,0.0001441864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005765313,0.00004732057,0.9487357,0.00001340238,0.0001921643,0.0000511357,0.0004109692,0.00002399361,0.04579145,0.001091214,0.00181097,0.001774031],"study_design_scores_gemma":[0.005379283,0.001265969,0.9415138,0.0002028146,0.0005428643,0.003960541,0.0001696662,0.006684721,0.02096069,0.0004005212,0.01850586,0.0004132354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943148,0.0008486284,0.00004892854,0.002600161,0.0008654362,0.0003484075,0.000008682158,0.0000925211,0.0008724736],"genre_scores_gemma":[0.9942995,0.0001432151,0.002497254,0.002205747,0.0007434261,0.00002439314,0.00002794674,0.00001927456,0.0000392803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483076,"threshold_uncertainty_score":0.5033891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100600525276611,"score_gpt":0.3163601824794474,"score_spread":0.2953541772266812,"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."}}