{"id":"W4319009166","doi":"10.1161/str.54.suppl_1.tp65","title":"Abstract TP65: An Automated Algorithm For The Nih Stroke Scale Assessment","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Context (archaeology); Stroke (engine); Telemedicine; Certification; Triage; Algorithm; Emergency medicine; Medical emergency; Health care; Physical therapy","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":[0.002491282,0.001202885,0.0007815508,0.003824556,0.0004981837,0.001296275,0.000973272,0.0007610215,0.008306645],"category_scores_gemma":[0.01100588,0.0003349246,0.0007975648,0.001503498,0.0003269347,0.001074496,0.000956833,0.0007180674,0.005271541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225528,"about_ca_system_score_gemma":0.001270808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051671,"about_ca_topic_score_gemma":0.001175202,"domain_scores_codex":[0.9969662,0.0009765869,0.000418542,0.0007285154,0.0007710943,0.0001390643],"domain_scores_gemma":[0.9967534,0.001215584,0.0004196988,0.0002772704,0.001202613,0.0001314575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003036806,0.0004446406,0.04642092,0.0003105504,0.0001871328,0.0004444335,0.0001621565,0.01359073,0.01417637,0.001347409,0.03833892,0.8815401],"study_design_scores_gemma":[0.001977974,0.002951742,0.09219763,0.0003075985,0.0003301489,0.003632287,0.0003357284,0.7980961,0.03697007,0.01442722,0.04843562,0.0003379723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1107812,0.0006715055,0.8600125,0.0006196945,0.0004580569,0.001692286,0.004687857,0.01667023,0.004406638],"genre_scores_gemma":[0.4013059,0.0002691567,0.5831263,0.0003443565,0.0004109531,0.002262032,0.006757561,0.001165743,0.004357969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008306645,"threshold_uncertainty_score":0.02778852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02304199212674683,"score_gpt":0.3426535467253997,"score_spread":0.3196115545986528,"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."}}