{"id":"W2680437780","doi":"10.1161/str.47.suppl_1.tp250","title":"Abstract TP250: Defining Technical Quality Standards for Mobile Telestroke Assessment: A Substudy of the Improving Treatment with Rapid Evaluation of Acute Stroke via Mobile Telemedicine (iTREAT) Mobile Telestroke Platform","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Telemedicine; Medicine; Videoconferencing; Jitter; Transmission (telecommunications); Video quality; Medical emergency; Computer science; Telecommunications; Operations management; Health care","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":[0.008165156,0.0006364754,0.0006582578,0.0009713832,0.0007754612,0.00110038,0.001113987,0.0006273363,0.002944855],"category_scores_gemma":[0.01884673,0.0002042783,0.0008034264,0.001226592,0.0004639308,0.001018699,0.001568211,0.0008334435,0.001117933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110573,"about_ca_system_score_gemma":0.001576578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115415,"about_ca_topic_score_gemma":0.004173832,"domain_scores_codex":[0.9963101,0.001591346,0.0004557362,0.0003254569,0.001085608,0.0002317984],"domain_scores_gemma":[0.9860408,0.002935505,0.003103101,0.001065145,0.005703278,0.001152183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03724207,0.007830066,0.5890786,0.002382098,0.00132403,0.0003550473,0.002493839,0.003071404,0.01714871,0.0007626998,0.02079549,0.3175159],"study_design_scores_gemma":[0.001889677,0.02428991,0.9558245,0.0002382712,0.0005547488,0.0002294675,0.0005811727,0.002300665,0.005677377,0.0002210226,0.00811099,0.00008215898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755874,0.0003348796,0.003885019,0.0003145416,0.00006677094,0.00551693,0.008329513,0.0002585686,0.005706356],"genre_scores_gemma":[0.973069,0.0002767704,0.006457637,0.0004042267,0.0001137473,0.008145961,0.009495647,0.00006226125,0.001974691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008165156,"threshold_uncertainty_score":0.04318196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532012217147179,"score_gpt":0.3620476712839236,"score_spread":0.3367275491124518,"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."}}