{"id":"W4409270823","doi":"10.1002/neo2.70018","title":"When to Call a Code: Using Transcranial Doppler to Anticipate Cardiac Arrest a Case Report","year":2025,"lang":"en","type":"article","venue":"Clinical neuroimaging.","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McMaster University","funders":"","keywords":"Transcranial Doppler; Code (set theory); Medicine; Computer science; Internal medicine; Cardiology; Programming language","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":[0.0005376019,0.001759278,0.0008718955,0.003027795,0.002040985,0.002186195,0.001174343,0.006755473,0.00148333],"category_scores_gemma":[0.006946502,0.0009633757,0.0008461596,0.001287556,0.001683997,0.002489122,0.001278176,0.004918555,0.0007156518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012926,"about_ca_system_score_gemma":0.001259271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860549,"about_ca_topic_score_gemma":0.002662163,"domain_scores_codex":[0.9991288,0.0001487183,0.0001348077,0.0001993097,0.0001236173,0.0002647405],"domain_scores_gemma":[0.9971559,0.001057906,0.000729067,0.0001695307,0.0001930724,0.0006945946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00001997581,0.00002168534,0.005530305,0.00001981801,0.00000613205,0.9920224,0.0001426342,0.00007806167,0.0004539622,0.0001460176,0.0004907972,0.001068227],"study_design_scores_gemma":[0.000007429004,0.0000336252,0.001604574,0.00004018748,0.00001140485,0.9962581,0.0002116487,0.0005649706,0.0004629145,0.0003273424,0.000463312,0.0000145922],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374835,0.008292828,0.01510384,0.01885161,0.001167589,0.0003839069,0.0003256715,0.0004446472,0.0179465],"genre_scores_gemma":[0.9889268,0.001951918,0.004546785,0.002174442,0.001475487,0.00003966361,0.00008886874,0.00004203771,0.0007539769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006755473,"threshold_uncertainty_score":0.009378493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07267539404927394,"score_gpt":0.4212601829244995,"score_spread":0.3485847888752256,"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."}}