{"id":"W7161851965","doi":"10.82308/28607","title":"Developing and implementation of an acute stroke dashboard to meet reporting requirements for status as a tertiary care stroke center","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Tertiary care; Patient care; Acute stroke; Center (category theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05292572,0.001065887,0.000993813,0.002601699,0.001972723,0.005799974,0.003087485,0.001287721,0.00683668],"category_scores_gemma":[0.1152338,0.0007847493,0.001474376,0.002007509,0.000887514,0.004256126,0.003991582,0.001741856,0.00196956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003343603,"about_ca_system_score_gemma":0.02167393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007756527,"about_ca_topic_score_gemma":0.01054632,"domain_scores_codex":[0.9773144,0.01135619,0.004191571,0.001595899,0.004306185,0.00123571],"domain_scores_gemma":[0.9229347,0.02839517,0.008217876,0.009513185,0.0242611,0.006677916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001014083,0.004245625,0.09770136,0.002508923,0.0002526609,0.0005628373,0.01277643,0.006530375,0.005890702,0.001853185,0.02895342,0.8377104],"study_design_scores_gemma":[0.004291432,0.02086081,0.4942196,0.01104353,0.001318076,0.001726871,0.07710516,0.09549727,0.03688743,0.01077771,0.2449076,0.001364651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6656317,0.0008432405,0.2227678,0.01469792,0.00144502,0.04840467,0.003898456,0.01742124,0.02489001],"genre_scores_gemma":[0.3187546,0.0007513974,0.6555735,0.0008668656,0.0001197704,0.01402034,0.003389424,0.0003595798,0.006164486],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05292572,"threshold_uncertainty_score":0.2799013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504677213538039,"score_gpt":0.3876664073575036,"score_spread":0.3626196352221233,"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."}}