{"id":"W7099882816","doi":"","title":"THE TELEHEALTH INDUSTRY IN CANADA: INDUSTRY PROFILE AND CAPABILITY ANALYSIS","year":2000,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Telemedicine; Industry 4.0; eHealth","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":[0.0008728722,0.0002104873,0.0001443201,0.004720739,0.002300759,0.002582155,0.0006172424,0.0005011515,0.006863086],"category_scores_gemma":[0.004927685,0.0002243518,0.0002285444,0.007870117,0.0005125465,0.0009916844,0.001021592,0.0007304968,0.0009301242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01483867,"about_ca_system_score_gemma":0.03196174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9633659,"about_ca_topic_score_gemma":0.9817625,"domain_scores_codex":[0.9986337,0.0000563924,0.00005643985,0.0000765054,0.0008371325,0.0003397872],"domain_scores_gemma":[0.9897506,0.0007405267,0.0007672936,0.00007684549,0.006200864,0.002463967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009150415,0.00009521426,0.890304,0.00007101452,0.00002149138,0.0001901529,0.00347759,0.000325172,0.0004848872,0.00139264,0.04385246,0.05969394],"study_design_scores_gemma":[0.000004367567,0.00002843796,0.9695831,0.00007591858,0.000008331566,0.0001259921,0.008087274,0.0006972796,0.0001811316,0.0001212662,0.02106837,0.00001847801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885128,0.005629823,0.0007253016,0.02298738,0.0001132862,0.0001454084,0.0171293,0.00008301689,0.0646736],"genre_scores_gemma":[0.965843,0.004949781,0.0005636699,0.001272995,0.00005337493,0.00003070114,0.004865245,0.00003156906,0.02238967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03663409,"threshold_uncertainty_score":0.1076626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038592766462208,"score_gpt":0.2686823361306488,"score_spread":0.2482964084660267,"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."}}