{"id":"W2746076806","doi":"10.1161/str.44.suppl_1.awp392","title":"Abstract WP392: Reducing Readmissions through Secondary Stroke Prevention Clinics","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Stroke (engine); Referral; Emergency medicine; Acute stroke; Pediatrics; Internal medicine; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001105035,0.0002461592,0.0003140192,0.0007347489,0.0009734598,0.001023354,0.001318851,0.0004391012,0.01101388],"category_scores_gemma":[0.005907621,0.0001882799,0.0006261321,0.0008887601,0.0004009333,0.0003361475,0.001201408,0.0004518687,0.0006805012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007900782,"about_ca_system_score_gemma":0.02937512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5460513,"about_ca_topic_score_gemma":0.7070127,"domain_scores_codex":[0.9988798,0.0002356046,0.00007355042,0.0001000437,0.000379956,0.0003309528],"domain_scores_gemma":[0.996039,0.00028398,0.001076976,0.00009934414,0.0008081202,0.001692584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009170744,0.001192286,0.6836146,0.002356716,0.0002966626,0.0002386804,0.0008433983,0.0006956729,0.0009769476,0.0005714992,0.08820782,0.2200887],"study_design_scores_gemma":[0.0004211375,0.0005475551,0.9878073,0.0004199233,0.00009967497,0.00007370559,0.0004089582,0.000607778,0.0001429102,0.0001057459,0.009356982,0.000008327452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917924,0.003050372,0.001249141,0.009173305,0.0002401565,0.002331572,0.01447898,0.0004563093,0.05109615],"genre_scores_gemma":[0.9876417,0.001375917,0.001616975,0.001237482,0.0001508777,0.000641245,0.003843515,0.00001587823,0.003476493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5460513,"threshold_uncertainty_score":0.9132442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293801879391575,"score_gpt":0.3207573212311514,"score_spread":0.2913771332919939,"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."}}