{"id":"W4376287293","doi":"10.1136/military-2022-002249","title":"Telehealth experiences in Canadian veterans: associations, strengths and barriers to care during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"BMJ Military Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Public Health Ontario; University of Toronto; Western University","funders":"","keywords":"Telehealth; Pandemic; Context (archaeology); Mental health; Telemedicine; Medicine; Health care; Coronavirus disease 2019 (COVID-19); Veterans Affairs; Social distance; Social isolation; Psychology; Nursing; Family medicine; Gerontology; Psychiatry; Political science; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519346,0.0001420809,0.0003090382,0.0004658721,0.0007414232,0.000006263213,0.00008936827,0.00006197594,0.00009439712],"category_scores_gemma":[0.002100871,0.0001148224,0.00002809409,0.0008229805,0.00005008607,0.00007008774,0.00002375511,0.0002432612,0.00001090259],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993101,"about_ca_system_score_gemma":0.006571102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8088989,"about_ca_topic_score_gemma":0.9266475,"domain_scores_codex":[0.997614,0.0002630844,0.0006062633,0.0003387196,0.0003211924,0.0008566862],"domain_scores_gemma":[0.99672,0.000356914,0.00007053736,0.0002475336,0.00004358083,0.002561507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004805317,0.000004420775,0.8023865,0.0005188232,0.000007561729,0.00003384272,0.1774591,0.00001988382,0.000003367004,0.00001266623,0.009169477,0.0103363],"study_design_scores_gemma":[0.001183686,0.0003427316,0.683753,0.00005788529,0.000005444005,0.00003989382,0.2674972,0.0000588334,0.000001209334,0.00001085319,0.04695957,0.00008973882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215431,0.002500622,0.000002991982,0.07331254,0.0001974175,0.0021404,0.0001718528,0.00009440764,0.00003671801],"genre_scores_gemma":[0.9567642,0.001490101,0.0001029226,0.04073624,0.0001791552,0.0004344377,0.0002355096,0.00001605323,0.0000413965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186336,"threshold_uncertainty_score":0.9990607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289414794157651,"score_gpt":0.4198408895505162,"score_spread":0.3769467416089397,"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."}}