{"id":"W7098217074","doi":"","title":"Analysis of Canadian Population With Potential Geographic Access to Intravenous Thrombolysis for","year":2015,"lang":"en","type":"article","venue":"","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Thrombolysis; MEDLINE; Incidence (geometry); Epidemiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000426771,0.00006487093,0.0001217445,0.0003093922,0.00002449331,0.00001980614,0.00009871614,0.00007108859,0.00001174292],"category_scores_gemma":[0.00001778385,0.00004912107,0.00006047752,0.0006881301,0.00001363231,0.000004185083,0.00001871858,0.000013962,1.861835e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008974626,"about_ca_system_score_gemma":0.00003742376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.036569,"about_ca_topic_score_gemma":0.08753578,"domain_scores_codex":[0.9995313,0.000007606719,0.0001067414,0.0001609773,0.00006839329,0.0001249476],"domain_scores_gemma":[0.9995139,0.000001212402,0.00003868648,0.0001197504,0.0001616644,0.00016484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000341308,0.00003133738,0.1840434,0.00001744677,0.001179859,6.966408e-7,0.00006231625,0.003089339,0.8052673,0.0001242142,0.0003176864,0.005525112],"study_design_scores_gemma":[0.0002891058,0.0003292393,0.8300114,0.000002636455,0.0005251331,0.000001841188,0.00003113581,0.0007764622,0.1671774,0.0000611908,0.0006120253,0.0001824677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930663,0.000009696716,0.006369674,0.0002214973,0.00002729889,0.0001398219,0.00006826681,0.000003546827,0.00009396044],"genre_scores_gemma":[0.9969308,0.000004203052,0.0008700594,0.0002062899,0.00004649325,0.000009448907,0.001893472,0.000005346549,0.00003385245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.645968,"threshold_uncertainty_score":0.9698465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471903077368442,"score_gpt":0.246414498390982,"score_spread":0.2316954676172976,"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."}}