{"id":"W2324542191","doi":"10.15326/jcopdf.1.2.2014.0136","title":"Longitudinal Computed Tomography and Magnetic Resonance Imaging of COPD: Thoracic Imaging Network of Canada (TINCan) Study Objectives","year":2014,"lang":"en","type":"article","venue":"Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Western University; St. Paul's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Reseau canadien de recherche respiratoire","keywords":"COPD; Acknowledgement; Magnetic resonance imaging; Medicine; Computed tomography; Medical diagnosis; Radiology; Medical physics; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755919,0.000182715,0.0003824138,0.00006894082,0.0002440165,0.00003509181,0.0003598196,0.00001119183,0.00004546583],"category_scores_gemma":[0.00002847307,0.0001467841,0.0001482081,0.0003607546,0.0003595554,0.0003127848,0.0001755366,0.0002266557,2.232815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900894,"about_ca_system_score_gemma":0.001105217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468937,"about_ca_topic_score_gemma":0.0003233749,"domain_scores_codex":[0.9982458,0.0003194876,0.0005040696,0.0002132701,0.0004453433,0.0002719901],"domain_scores_gemma":[0.9982158,0.0002467897,0.0007019072,0.0002506078,0.0004775571,0.0001073582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001399136,0.0001312457,0.7973413,0.00004279821,0.00007288378,0.00000299389,0.000115619,0.0007756071,0.000109635,0.0007548947,0.00006250186,0.2004506],"study_design_scores_gemma":[0.0005858928,0.00005064764,0.9457386,0.0001974959,0.0001377978,0.00001195031,0.001196193,0.03896086,0.0001630847,0.01273013,0.00008934565,0.0001380323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881886,0.005694604,0.004904213,0.000072783,0.0003325444,0.0003190457,0.00003852436,0.000004025078,0.0004456688],"genre_scores_gemma":[0.9995143,0.00000869322,0.00006565677,0.000006123057,0.0003582935,0.000005159676,0.000007323699,0.00001684536,0.00001759696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2003126,"threshold_uncertainty_score":0.598568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006043568558491455,"score_gpt":0.2482545375789428,"score_spread":0.2422109690204513,"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."}}