{"id":"W2144148208","doi":"10.1161/strokeaha.107.513499","title":"Serum Calcium as Prognosticator in Ischemic Stroke","year":2008,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Quartile; Stroke (engine); Internal medicine; Logistic regression; Ischemic stroke; Cardiology; Confidence interval; Ischemia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001353164,0.0002613644,0.0004047494,0.000240123,0.00006031572,0.000009755685,0.0002051721,0.0001427923,0.0005431165],"category_scores_gemma":[0.0001767562,0.0002459601,0.0001378063,0.000237578,0.000153094,0.00009061366,0.00017048,0.0004295202,0.0007281828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776836,"about_ca_system_score_gemma":0.000170656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007795693,"about_ca_topic_score_gemma":0.000006090197,"domain_scores_codex":[0.9980173,0.00002276768,0.0003866077,0.0004713549,0.0005061607,0.0005958003],"domain_scores_gemma":[0.9990062,0.00006130763,0.00008393101,0.0005518104,0.00005851482,0.0002382966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000280332,0.0003833538,0.753478,0.0001248925,0.00015511,0.001406615,0.0004101019,0.000002912705,0.08034289,0.0001207483,0.1595076,0.003787457],"study_design_scores_gemma":[0.006311091,0.0005839267,0.2676235,0.000179797,0.0002095532,0.0007515274,0.0007979119,0.000225393,0.2108165,0.000007369837,0.5119155,0.0005779506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569047,0.0002263313,0.000113309,0.001441385,0.0001624633,0.0006180128,0.00004655622,0.0001291727,0.2403581],"genre_scores_gemma":[0.9554294,0.00006478594,0.002049898,0.001018257,0.0002704433,0.00009276494,0.00003166775,0.00004555121,0.04099722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858545,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208998785052037,"score_gpt":0.2763497378961139,"score_spread":0.2542597500455935,"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."}}