{"id":"W4290391500","doi":"10.2196/39885","title":"An e–Mental Health Resource for COVID-19–Associated Stress Reduction: Mixed Methods Study of Reach, Usability, and User Perceptions","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Usability; Mental health; Analytics; Psychology; Applied psychology; Pandemic; Perceived Stress Scale; Mental distress; Public health; Medicine; Medical education; Nursing; Coronavirus disease 2019 (COVID-19); Computer science; Stress (linguistics); Psychiatry; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02673309,0.0005556521,0.0008364963,0.002115576,0.003214548,0.003019809,0.00132664,0.001057838,0.003590108],"category_scores_gemma":[0.02631245,0.0007834738,0.001032994,0.002254592,0.001527985,0.002640083,0.002746169,0.001295638,0.000486238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118751,"about_ca_system_score_gemma":0.005764038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004971238,"about_ca_topic_score_gemma":0.01124184,"domain_scores_codex":[0.9836485,0.01202934,0.001032663,0.0009721027,0.001422747,0.0008945486],"domain_scores_gemma":[0.9681174,0.02283521,0.002891244,0.001467624,0.003566062,0.001122625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001457942,0.01670704,0.1683988,0.007378652,0.0004530368,0.001142302,0.5380377,0.0003755916,0.004905422,0.003265709,0.004300504,0.2535774],"study_design_scores_gemma":[0.0007324243,0.01907075,0.2424282,0.003842069,0.0005481642,0.0007647175,0.6909389,0.003152089,0.004690721,0.001735991,0.03182673,0.0002691596],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803315,0.0007124571,0.004943977,0.0005007976,0.00003455447,0.01037206,0.0004838882,0.00003576134,0.002584872],"genre_scores_gemma":[0.927372,0.001451629,0.03455929,0.001751494,0.00008452783,0.03136615,0.0004474551,0.00006065166,0.002906831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673309,"threshold_uncertainty_score":0.1413798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08947118561629917,"score_gpt":0.5360072924327806,"score_spread":0.4465361068164814,"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."}}