{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245556,0.0004674064,0.00026768,0.001939903,0.002815409,0.0008351682,0.0007219893,0.0004192614,0.003877671],"category_scores_gemma":[0.0008444995,0.0002138458,0.0006399137,0.003542064,0.0004491638,0.0001479422,0.0004545682,0.000484002,0.0003744208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008029507,"about_ca_system_score_gemma":0.01081422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9666249,"about_ca_topic_score_gemma":0.9650936,"domain_scores_codex":[0.9995627,0.00002366393,0.0000187405,0.00008683083,0.0001338466,0.0001742473],"domain_scores_gemma":[0.9995698,0.00002316314,0.00006019355,0.0000157046,0.0002146211,0.0001165025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003607245,0.0001191222,0.9747951,0.00006369523,0.0001163427,0.001446087,0.002166741,0.0002133294,0.005328383,0.0009472336,0.003254071,0.01118915],"study_design_scores_gemma":[0.000007188189,0.00005287251,0.9935622,0.00001483571,0.00004119121,0.000805325,0.001844512,0.0002083395,0.0003018752,0.00005657276,0.003092265,0.00001278638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992379,0.0004270417,0.0002830609,0.0002959126,0.0000126686,0.00004929112,0.003351704,0.00001115292,0.003190243],"genre_scores_gemma":[0.994634,0.0005015048,0.0005282022,0.0001924206,0.00000852893,0.00002743449,0.001668503,0.000008513344,0.002430825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03337508,"threshold_uncertainty_score":0.0671432,"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."}}