{"id":"W4225082856","doi":"10.1145/3491101.3519781","title":"Improving Mental Health Among Working-Class Indian Women: Insight From An Interview Study","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Mental health; Workload; Workforce; Anxiety; Mood; mHealth; Focus group; Psychology; Class (philosophy); Applied psychology; Computer science; Clinical psychology; Psychiatry; Business; Psychological intervention; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003794908,0.0003599747,0.000341597,0.0009235431,0.004430693,0.001873451,0.0006437362,0.0008139546,0.002376626],"category_scores_gemma":[0.006790971,0.000399364,0.0004036146,0.0007961713,0.001809512,0.001421173,0.002153403,0.002348854,0.0003586017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109836,"about_ca_system_score_gemma":0.002651999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112775,"about_ca_topic_score_gemma":0.0450433,"domain_scores_codex":[0.9985566,0.0006995398,0.0000722602,0.00008242086,0.0001545886,0.0004346357],"domain_scores_gemma":[0.9966864,0.001704354,0.0004028246,0.00009566115,0.0005900366,0.0005208008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005436412,0.0002307904,0.0318591,0.0001747565,0.000008206191,0.001203673,0.9534917,0.00001994021,0.001368954,0.0003612365,0.001414308,0.009812897],"study_design_scores_gemma":[0.000003881406,0.00009366866,0.01101204,0.00008359746,0.00000701781,0.00019718,0.9846368,0.00003533308,0.0001213626,0.00006736021,0.003729939,0.00001182911],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926489,0.0003361093,0.0004500597,0.002324357,0.0000489451,0.0002061983,0.0001861966,0.000007261732,0.003791888],"genre_scores_gemma":[0.9923106,0.001121135,0.0007222584,0.002475407,0.0000414374,0.0004231416,0.0001265139,0.00001157882,0.002767927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112775,"threshold_uncertainty_score":0.04200959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150685724559838,"score_gpt":0.3908290822254617,"score_spread":0.2757605097694779,"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."}}