{"id":"W4386888342","doi":"10.2196/49591","title":"Telehealth Impact in Frontier Critical Access Hospitals: Mixed Methods Evaluation","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Reimbursement; Medicaid; Business; Payment; Service (business); Medicine; Telemedicine; Nursing; Health care; Family medicine; Finance; Political science; Marketing","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":[0.1162147,0.001927025,0.002691646,0.003553364,0.002982116,0.004450492,0.003884139,0.001934334,0.005878694],"category_scores_gemma":[0.1015338,0.00115429,0.006996666,0.004053243,0.001643633,0.00355873,0.005235538,0.002080997,0.0005003852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01390139,"about_ca_system_score_gemma":0.02159556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009593699,"about_ca_topic_score_gemma":0.01694476,"domain_scores_codex":[0.8989909,0.08053173,0.00787824,0.002365432,0.007489961,0.002743755],"domain_scores_gemma":[0.8988623,0.06917,0.008190925,0.003922923,0.01736159,0.002492223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02434759,0.05240776,0.08848731,0.07324699,0.01261088,0.0009476446,0.04968974,0.005707882,0.001108337,0.007775292,0.008496216,0.6751743],"study_design_scores_gemma":[0.05961786,0.2520778,0.2388295,0.1164286,0.03126062,0.0008730628,0.1784247,0.02671922,0.01109328,0.01782782,0.06560281,0.001244807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691461,0.01239859,0.0222126,0.003176617,0.0004500029,0.2539746,0.005749513,0.0002494044,0.01032781],"genre_scores_gemma":[0.4841681,0.006351694,0.07247835,0.002068918,0.0001784449,0.4319328,0.001312566,0.00007315057,0.001435979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1162147,"threshold_uncertainty_score":0.6146092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2503292075145305,"score_gpt":0.6681180537533973,"score_spread":0.4177888462388668,"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."}}