{"id":"W7093661849","doi":"","title":"Bigger, faster?:associations between hospital thrombolysis volume and speed of thrombolysis administration in acute ischemic stroke","year":2013,"lang":"en","type":"article","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Thrombolysis; Volume (thermodynamics); Administration (probate law); Stroke (engine); Acute stroke","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":[0.002681951,0.0004488871,0.0005876468,0.0007533797,0.000390971,0.001755339,0.0008947035,0.001992095,0.003758126],"category_scores_gemma":[0.019367,0.0008099168,0.001310368,0.001057505,0.0004671272,0.001898997,0.0006973695,0.002141793,0.0004617561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869036,"about_ca_system_score_gemma":0.0007429277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461479,"about_ca_topic_score_gemma":0.003071486,"domain_scores_codex":[0.9985134,0.0007077461,0.0002008181,0.00024217,0.0001503646,0.0001855744],"domain_scores_gemma":[0.9767902,0.01323124,0.006694638,0.001010747,0.0004609836,0.001812181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001180254,0.0001455907,0.9955932,0.00002173353,0.0003565021,0.00007430921,0.000056242,0.0002633757,0.000131685,0.00009826568,0.0002828437,0.001795963],"study_design_scores_gemma":[0.00007859012,0.0002534355,0.9961308,0.00001799896,0.0003077186,0.0002431227,0.0002158844,0.002173684,0.00008075578,0.0003002906,0.0001773133,0.00002047297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967353,0.001257263,0.0001830886,0.0008332744,0.00008625662,0.000008134258,0.0002030131,0.0000134984,0.0006802006],"genre_scores_gemma":[0.9987578,0.0002420605,0.0002345363,0.0001271977,0.0002352799,0.000004070167,0.0001384132,0.00001302195,0.0002476824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003758126,"threshold_uncertainty_score":0.0141837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123287928329961,"score_gpt":0.2598671338570733,"score_spread":0.2475383410240772,"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."}}