{"id":"W2038095029","doi":"10.1093/icvts/ivu167.57","title":"F-057 * DOES THE USAGE OF A DIGITAL CHEST DRAINAGE SYSTEM REDUCE PLEURAL INFLAMMATION AND VOLUME OF PLEURAL EFFUSION AFTER MAJOR LUNG RESECTIONS FOR CANCER? A PROSPECTIVE, RANDOMIZED STUDY","year":2014,"lang":"en","type":"article","venue":"Interactive Cardiovascular and Thoracic Surgery","topic":"Pleural and Pulmonary Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Pleural effusion; Chest tube; Pleural cavity; Surgery; Prospective cohort study; Lung; Pleural disease; Effusion; Respiratory disease; Internal medicine; Pneumothorax","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":[0.001317942,0.00021833,0.00115131,0.000171974,0.0001290987,0.00005289716,0.00005248086,0.00005436656,0.000006487084],"category_scores_gemma":[0.001014306,0.0001233075,0.0009046025,0.0001855205,0.0002353963,0.0003560796,0.00007577329,0.0001351182,4.023914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006168106,"about_ca_system_score_gemma":0.00005023143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002698801,"about_ca_topic_score_gemma":0.00002011429,"domain_scores_codex":[0.9981023,0.0005433016,0.0004942114,0.0003479769,0.000328341,0.0001838784],"domain_scores_gemma":[0.9974899,0.001504554,0.000229659,0.000307797,0.0003782098,0.00008992624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2845085,0.0006957874,0.5401351,0.007246914,0.01524927,0.0001587377,0.007192925,0.00006272556,0.003941803,0.00006440227,0.00008052131,0.1406633],"study_design_scores_gemma":[0.03914703,0.0005940754,0.9079513,0.003764049,0.01096173,0.0005295673,0.01061138,0.01220085,0.01237321,0.0003334662,0.0007768254,0.0007565049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933481,0.002983131,0.0004088499,0.0001278711,0.0002667829,0.002444685,0.0001450046,0.00003167379,0.0002439116],"genre_scores_gemma":[0.9985495,0.00005613223,0.00001471579,0.000005979794,0.0002521419,0.0009106587,0.00003036708,0.00002262106,0.0001579271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3678162,"threshold_uncertainty_score":0.5028335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242140857259368,"score_gpt":0.2800381836670682,"score_spread":0.2676167750944746,"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."}}