{"id":"W4391438767","doi":"10.1161/str.55.suppl_1.tmp18","title":"Abstract TMP18: Real-World Challenges in US Thrombectomy Transfers: Difficulty Finding an Accepting Hospital, Prolonged Travel, and Differing Perceptions of Transfer Requirements","year":2024,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Descriptive statistics; Stroke (engine); Transfer (computing); Certification; Emergency medicine; Medical emergency; Statistics","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":[0.004242679,0.0003482625,0.0002168329,0.0007288599,0.001144793,0.001550699,0.0006800292,0.0006284689,0.003979723],"category_scores_gemma":[0.02136821,0.0002132506,0.0004603935,0.000717741,0.0008498904,0.001693682,0.002300509,0.001044663,0.0004775025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577002,"about_ca_system_score_gemma":0.001760505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007214418,"about_ca_topic_score_gemma":0.005828533,"domain_scores_codex":[0.9971263,0.001369148,0.0004084911,0.0001667628,0.0005180227,0.0004112159],"domain_scores_gemma":[0.9854956,0.003201645,0.00775523,0.0003781174,0.001808978,0.001360366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009967093,0.0002662404,0.9591653,0.0001358536,0.00006235421,0.0002887781,0.01942056,0.0002990047,0.000264518,0.0001668122,0.00341068,0.0164203],"study_design_scores_gemma":[0.00001384421,0.0002719557,0.9090492,0.0001748295,0.00002804877,0.0004803831,0.08600719,0.0008328993,0.0002962876,0.0003599403,0.002451687,0.0000337216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968255,0.00007819614,0.0002977887,0.00131951,0.00002080444,0.00004373907,0.000216859,0.000008118856,0.00118952],"genre_scores_gemma":[0.9990251,0.00008064729,0.0001794431,0.0002591533,0.0000180822,0.00005783799,0.00014157,0.00000450561,0.0002336214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007214418,"threshold_uncertainty_score":0.02243769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435291304761646,"score_gpt":0.3240522159363448,"score_spread":0.2696993028887283,"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."}}