{"id":"W3107452859","doi":"10.5539/gjhs.v13n1p57","title":"Stroke Pentagon: Stroke Management Approach in Resource Poor Settings","year":2020,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Developing country; Intensive care medicine; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002063942,0.0004233023,0.0004525062,0.0009163241,0.00203393,0.002346087,0.00115633,0.001331596,0.01667257],"category_scores_gemma":[0.004553299,0.0001565205,0.0005519852,0.0008461992,0.0005543121,0.001590814,0.005249403,0.003020064,0.002948018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156283,"about_ca_system_score_gemma":0.01077604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003853915,"about_ca_topic_score_gemma":0.01126931,"domain_scores_codex":[0.9984251,0.0007989011,0.0001551097,0.00008764255,0.0001693746,0.0003639427],"domain_scores_gemma":[0.997067,0.0002400962,0.0002331689,0.00007581704,0.000556273,0.001827567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003001341,0.0007916979,0.01363911,0.00174293,0.0001277674,0.003977268,0.002667143,0.0009179339,0.0005260476,0.01139962,0.4295439,0.5343664],"study_design_scores_gemma":[0.0003626725,0.001156927,0.03231228,0.006599355,0.0001982895,0.007946696,0.01283022,0.00190313,0.0008739227,0.02674979,0.9089306,0.0001360968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07489225,0.02956971,0.0282084,0.4956895,0.006878622,0.003460346,0.001701971,0.00189809,0.3577012],"genre_scores_gemma":[0.6291487,0.06810693,0.09407416,0.1007943,0.005674235,0.004910355,0.002690381,0.0004274452,0.09417356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667257,"threshold_uncertainty_score":0.05577534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301865411906761,"score_gpt":0.3074580806177274,"score_spread":0.2844394264986598,"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."}}