{"id":"W4210512811","doi":"10.1016/j.sopen.2022.01.006","title":"Lung hemorrhage in trauma: Technical tricks and tips","year":2022,"lang":"en","type":"article","venue":"Surgery Open Science","topic":"Trauma Management and Diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Lung; Surgery; General surgery; Intensive care medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004628301,0.001116004,0.002118347,0.002180402,0.0006934471,0.003011128,0.001260022,0.002579828,0.003081931],"category_scores_gemma":[0.01085578,0.0005617772,0.001317404,0.0009481325,0.002682081,0.007276463,0.001485908,0.01250811,0.002746401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385792,"about_ca_system_score_gemma":0.001550677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008260506,"about_ca_topic_score_gemma":0.001581304,"domain_scores_codex":[0.9985726,0.0003639763,0.0003214093,0.0001590231,0.0005011834,0.00008179629],"domain_scores_gemma":[0.9933697,0.004454432,0.0004297166,0.0002695807,0.001062106,0.0004144714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002200637,0.0001218478,0.001518012,0.01093855,0.0002503014,0.006059869,0.0003756607,0.0008577873,0.001704259,0.01738555,0.1601665,0.8004015],"study_design_scores_gemma":[0.00009610658,0.0002845182,0.001727553,0.009597688,0.0002720039,0.0322797,0.0006191733,0.0005385302,0.001140314,0.04609176,0.9071723,0.0001803573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0006958598,0.9415739,0.007542054,0.03343683,0.0129136,0.00002891928,0.00007073521,0.0001902171,0.003547833],"genre_scores_gemma":[0.005551588,0.9280949,0.01004976,0.01797676,0.03559219,0.00007687413,0.00009502325,0.00009063447,0.002472249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004628301,"threshold_uncertainty_score":0.02447706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439123305051403,"score_gpt":0.3250976168002517,"score_spread":0.2811852862951114,"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."}}