{"id":"W4304943254","doi":"10.26443/mjm.v21i1.953","title":"Approach to: Bleeding","year":2022,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Case Reports on Hematomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Major bleeding; Severe bleeding; Surgery; Internal medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001686701,0.0001266133,0.0005939187,0.0005002769,0.0001727092,0.000002528341,0.0001305949,0.00002729474,0.0007858468],"category_scores_gemma":[0.0005034804,0.000092109,0.0001280858,0.0005212788,0.00004520288,0.00004973563,0.0001038029,0.0005371299,0.00000536814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768281,"about_ca_system_score_gemma":0.00008097938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001275012,"about_ca_topic_score_gemma":1.483949e-7,"domain_scores_codex":[0.9975396,0.00004719277,0.0007584345,0.0001512945,0.001283987,0.0002194742],"domain_scores_gemma":[0.9986203,0.00007268909,0.0004047127,0.0002282428,0.0002479293,0.000426168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002349287,0.002031755,0.005606905,0.0005627131,0.0009412696,0.0255426,0.002373351,0.0008430717,0.1345019,0.005259733,0.7635031,0.05648433],"study_design_scores_gemma":[0.004511893,0.002997335,0.001761428,0.0002964551,0.0004007246,0.1752357,0.002072237,0.000139469,0.001234119,0.0002421827,0.8109612,0.0001472239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5989869,0.003944582,0.001978517,0.09697016,0.004346726,0.001296324,0.00002242961,0.0001425889,0.2923117],"genre_scores_gemma":[0.9865021,0.00003854818,0.003256607,0.007980388,0.0008405452,0.000009299442,0.000003679821,0.00003374297,0.001335073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3875152,"threshold_uncertainty_score":0.8604472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604490108811704,"score_gpt":0.3171672784253157,"score_spread":0.2611223773371987,"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."}}