{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004997507,0.00009784008,0.0001582982,0.00005744765,0.0001683808,0.00009595788,0.0006021854,0.0002476695,0.0004634664],"category_scores_gemma":[0.000065802,0.00006707806,0.00002359663,0.00124696,0.0001016105,0.0001913587,0.00009351058,0.001056469,0.00001097482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021416,"about_ca_system_score_gemma":0.001240864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255297,"about_ca_topic_score_gemma":0.981609,"domain_scores_codex":[0.9986394,0.0001167574,0.0003168984,0.0003362191,0.0002455444,0.0003452036],"domain_scores_gemma":[0.9989859,0.0002463275,0.00004378987,0.0005535964,0.00003781835,0.000132607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003317409,0.00002049562,0.6645845,0.000002658268,0.00002462237,0.000008215598,0.0003283201,0.00103333,0.000003030036,0.002217063,0.001058834,0.3307156],"study_design_scores_gemma":[0.00004695213,0.00002633889,0.8260087,0.000006592225,0.0000152715,0.000005668752,0.001251149,0.163879,0.001525684,0.002251169,0.004738111,0.0002452891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889086,0.00006705672,0.000608934,0.004527438,0.0000564324,0.0001429971,0.000002140889,0.00003045131,0.005655942],"genre_scores_gemma":[0.9972641,0.00001635512,0.0007945636,0.0005818063,0.00001937276,0.00001534673,3.719781e-7,0.000002652033,0.001305473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304703,"threshold_uncertainty_score":0.5074632,"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."}}