{"id":"W6968878278","doi":"10.5281/zenodo.15116164","title":"The Impact of Telemedicine on Access to Health Care in Rural and Remote Canada","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Telemedicine; Health care; Economic shortage; Rural area; Quality (philosophy); Coronavirus disease 2019 (COVID-19); Rural health; Transformative learning; Telehealth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001041256,0.0001765619,0.0002139304,0.0008884786,0.004007217,0.002636335,0.0009161226,0.0005037265,0.008196852],"category_scores_gemma":[0.01027785,0.000128514,0.0004079856,0.002150233,0.001455229,0.0008703247,0.002874938,0.001375634,0.0001620555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03365797,"about_ca_system_score_gemma":0.08006752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792848,"about_ca_topic_score_gemma":0.9873298,"domain_scores_codex":[0.9976737,0.0003921098,0.00007446775,0.0001380409,0.0006586705,0.001063053],"domain_scores_gemma":[0.9927724,0.001818077,0.0007423327,0.0001201001,0.001476173,0.003071066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008409923,0.001174848,0.632092,0.0008715858,0.0002617248,0.001868951,0.04147764,0.002658392,0.001484089,0.01806303,0.02217348,0.2770333],"study_design_scores_gemma":[0.000116094,0.0002256463,0.9081447,0.000805545,0.0001354415,0.0004641347,0.05884857,0.002017462,0.0004411954,0.002050972,0.02666588,0.00008430727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244738,0.002704973,0.0003730603,0.02629581,0.00009398678,0.00009823361,0.001241609,0.00003482871,0.04468378],"genre_scores_gemma":[0.9960877,0.001119842,0.0001980858,0.0007306227,0.00001742664,0.00001301014,0.0001143428,0.000007630114,0.001711355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03365797,"threshold_uncertainty_score":0.2442068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965523407515212,"score_gpt":0.3630600236237981,"score_spread":0.3334047895486459,"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."}}