{"id":"W1566162777","doi":"","title":"First Nations led telemedicine: From access to effective use","year":2010,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Telemedicine; Internet privacy; Business; Computer science; Telecommunications; Economic growth; Economics; Health care","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":[0.00398314,0.0002744175,0.0001680408,0.001380776,0.003803475,0.01222519,0.0008049085,0.001781097,0.01281808],"category_scores_gemma":[0.01004297,0.0002597789,0.0002555202,0.001217364,0.009179453,0.008989429,0.01138937,0.002152585,0.0005798418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0112951,"about_ca_system_score_gemma":0.01299319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02659414,"about_ca_topic_score_gemma":0.0476475,"domain_scores_codex":[0.994794,0.00271166,0.0001624487,0.0003350437,0.001062291,0.0009346025],"domain_scores_gemma":[0.9923643,0.003561211,0.0008107949,0.0005417796,0.0007665109,0.001955469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001223981,0.0002365355,0.03814818,0.000416716,0.00003228203,0.001267871,0.1105303,0.0009289208,0.001824951,0.6458905,0.01129799,0.1893034],"study_design_scores_gemma":[0.00007711718,0.0004831717,0.07665456,0.001983403,0.00006133554,0.001976915,0.2473692,0.002646137,0.003622924,0.141199,0.5238274,0.00009874724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2652281,0.003604016,0.01724469,0.06778111,0.0002063488,0.0002015426,0.0001129954,0.0001108594,0.6455103],"genre_scores_gemma":[0.9864762,0.001276711,0.00231524,0.0008604401,0.00005170182,0.00006316289,0.00002216913,0.0000222626,0.008912136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9734058,"threshold_uncertainty_score":0.08195204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568040590077387,"score_gpt":0.2595508426100635,"score_spread":0.2438704367092896,"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."}}