{"id":"W4298000192","doi":"10.3389/fpsyt.2022.961067","title":"Can “Rover” help with mental health during the COVID-19 pandemic? Results from the Canadian Longitudinal Study on Aging (CLSA)","year":2022,"lang":"en","type":"article","venue":"Frontiers in Psychiatry","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Dalhousie University; University of Calgary; McGill University; Impact; University of British Columbia","funders":"Canadian Institutes of Health Research; Simon Fraser University; Canada Research Chairs; Dalhousie University; Michael Smith Health Research BC; Université de Sherbrooke; McMaster University; Memorial University of Newfoundland; Government of Canada; McGill University","keywords":"Anxiety; Mental health; Depression (economics); Medicine; Psychiatry; Pandemic; Mood; Longitudinal study; Coronavirus disease 2019 (COVID-19); Cohort; Clinical psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002669189,0.0003077862,0.0005351515,0.0008587353,0.00232811,0.001878022,0.001650545,0.001053266,0.004512917],"category_scores_gemma":[0.01003784,0.0003615521,0.001174162,0.00214876,0.0007048246,0.001534655,0.001201363,0.001938976,0.0003658283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00673444,"about_ca_system_score_gemma":0.01096741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9254431,"about_ca_topic_score_gemma":0.965887,"domain_scores_codex":[0.9985234,0.000326917,0.00007617082,0.0001899691,0.0002966248,0.0005868647],"domain_scores_gemma":[0.9959812,0.0005089926,0.001177325,0.0002809206,0.001129702,0.0009217703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001589806,0.00005898739,0.9712902,0.0001564654,0.0001882645,0.00006346821,0.002080419,0.00006965383,0.00003604782,0.0004674132,0.01056343,0.01486663],"study_design_scores_gemma":[0.00001490992,0.00002468737,0.991117,0.000260133,0.00009581137,0.0000330757,0.002579365,0.0001112871,0.00001817789,0.0001783947,0.005548213,0.00001897527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254776,0.00999063,0.0003595889,0.02650031,0.0004050682,0.0001625416,0.0214858,0.00001777508,0.01560078],"genre_scores_gemma":[0.9820998,0.004140197,0.0004461395,0.00457888,0.0001617727,0.00009512591,0.006786214,0.00001348257,0.001678353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07455689,"threshold_uncertainty_score":0.1499919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06767808280855325,"score_gpt":0.3802255714212529,"score_spread":0.3125474886126997,"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."}}