{"id":"W4378373255","doi":"10.1513/annalsats.202301-022oc","title":"Mechanical Ventilation after Traumatic Spinal Cord Injury—A Multicentric Cohort Study-based Prediction Model for Weaning Success: The BICYCLE Score","year":2023,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta; St. Michael's Hospital; University Health Network; Institute of Health Services and Policy Research","funders":"","keywords":"Medicine; Spinal cord injury; Mechanical ventilation; Cohort; Cohort study; Ventilation (architecture); Weaning; Physical medicine and rehabilitation; Anesthesia; Emergency medicine; Spinal cord; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008721046,0.0009022717,0.0008918293,0.001925793,0.0004794553,0.00136086,0.001280135,0.0006155501,0.001191413],"category_scores_gemma":[0.01146001,0.000354074,0.00173087,0.001680511,0.0003866358,0.0006134324,0.0009861412,0.0009211325,0.0001888794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030161,"about_ca_system_score_gemma":0.001438317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233074,"about_ca_topic_score_gemma":0.01221824,"domain_scores_codex":[0.9979497,0.001181474,0.0001410583,0.0003791202,0.0001877983,0.0001608333],"domain_scores_gemma":[0.9939297,0.002423405,0.001482587,0.0008213984,0.0007351104,0.0006077129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005811883,0.00006991561,0.99449,0.00001507672,0.0004357088,0.00006347931,0.00005266897,0.001886851,0.00005138966,0.00006699791,0.0002670286,0.002019732],"study_design_scores_gemma":[0.0002952168,0.0007733881,0.8525216,0.00006000257,0.000844916,0.0004036338,0.0003714545,0.1436694,0.0001149902,0.000432646,0.0004656995,0.00004709525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980028,0.0001420114,0.001026604,0.000121158,0.00001244521,0.00003814126,0.0004997862,0.000008518196,0.0001485055],"genre_scores_gemma":[0.9985579,0.00007005545,0.0006137447,0.00001509467,0.00001351081,0.00003324596,0.0006149003,0.000002887326,0.0000785399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02233074,"threshold_uncertainty_score":0.04612184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845533270780131,"score_gpt":0.4838200939648348,"score_spread":0.2992667668868217,"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."}}