{"id":"W4293764510","doi":"10.1259/bjr.20210722","title":"Right-to-left ventricle ratio determined by machine learning algorithms on CT pulmonary angiography images predicts prolonged ICU length of stay in operated chronic thromboembolic pulmonary hypertension","year":2022,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Pulmonary hypertension; Ventricle; Pulmonary angiography; Pulmonary embolism; Surgery","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":[0.001424738,0.0002994341,0.0003103553,0.0008485545,0.0001399599,0.0007284435,0.0002882907,0.0003738116,0.0007370204],"category_scores_gemma":[0.006485409,0.0001384689,0.0002893917,0.0003032104,0.0001904807,0.0004431088,0.0003377229,0.0003921023,0.000200138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282802,"about_ca_system_score_gemma":0.0002757906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000608979,"about_ca_topic_score_gemma":0.001015893,"domain_scores_codex":[0.9994356,0.0001793993,0.0001070132,0.00009295316,0.0001263067,0.00005869609],"domain_scores_gemma":[0.9968913,0.001621352,0.0009033679,0.0001071717,0.0003090978,0.0001676479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001147463,0.0000571557,0.9916306,0.000009660978,0.00003285595,0.00005129642,0.00001609586,0.0006915616,0.0004687314,0.00001092552,0.00008055435,0.006835888],"study_design_scores_gemma":[0.00002836898,0.0005124841,0.9347371,0.00003003657,0.00005989144,0.0009007544,0.0001440591,0.06193462,0.001327042,0.0001064827,0.0002079338,0.0000111752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981925,0.0001953678,0.001228246,0.00006208092,0.000007568603,0.00001000021,0.00007137052,0.0000169032,0.0002158136],"genre_scores_gemma":[0.9985958,0.00006438526,0.001104535,0.0000134219,0.00001711172,0.000007120701,0.0001353607,0.000002468316,0.00005977696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424738,"threshold_uncertainty_score":0.007534862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139650262106176,"score_gpt":0.2495910195545173,"score_spread":0.2381945169334555,"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."}}