{"id":"W2205320786","doi":"","title":"Impact of Robotic Telemedicine in a Remote Community in Canada","year":2013,"lang":"en","type":"article","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Laptop; Telerobotics; Health care; Telehealth; Perspective (graphical); Health care delivery; Medicine; Robot; Medical emergency; Nursing; Computer science; Mobile robot; Artificial intelligence; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000954995,0.0002098733,0.0002017878,0.000369451,0.003916963,0.001127896,0.0006508339,0.0003430159,0.003964077],"category_scores_gemma":[0.002586732,0.0001189539,0.0002509115,0.0006312651,0.001163332,0.0002961197,0.001715789,0.000549999,0.0001338123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02321439,"about_ca_system_score_gemma":0.03872847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9301156,"about_ca_topic_score_gemma":0.9736433,"domain_scores_codex":[0.9984801,0.0004425882,0.00003774271,0.00009476887,0.0004542706,0.0004906046],"domain_scores_gemma":[0.997699,0.0003353482,0.000256649,0.00003895726,0.0008209989,0.000849053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002395631,0.005348129,0.5875536,0.001844499,0.0002221705,0.006954929,0.04756458,0.005500811,0.01072265,0.003285671,0.01233646,0.3162708],"study_design_scores_gemma":[0.0002735287,0.003317996,0.8561381,0.0004873542,0.0001264378,0.0009758245,0.1105783,0.002368306,0.002097027,0.0003115177,0.02322501,0.0001007298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894468,0.0004079613,0.0001094577,0.000927271,0.0000112175,0.0001190422,0.0001371832,0.00001515058,0.008825934],"genre_scores_gemma":[0.9980816,0.0002956183,0.0002757384,0.0001786226,0.000003653316,0.00002271131,0.00005596684,0.000002401469,0.001083648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06988436,"threshold_uncertainty_score":0.168433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695226468743742,"score_gpt":0.3536736723833228,"score_spread":0.3167214076958853,"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."}}