{"id":"W4396230932","doi":"10.1145/3637414","title":"Towards Inclusive Futures for Worker Wellbeing","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Universitas Brawijaya","keywords":"Context (archaeology); Futures contract; Work (physics); Public relations; Identity (music); Sociology; Process (computing); Knowledge management; Computer-supported cooperative work; Psychology; Business; Political science; Computer science; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02135182,0.001277539,0.0007730224,0.003142909,0.0131217,0.02420134,0.002281161,0.006167416,0.01000238],"category_scores_gemma":[0.01385664,0.000805347,0.001242394,0.001784455,0.0319294,0.02509111,0.04025752,0.007102721,0.002503129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00560449,"about_ca_system_score_gemma":0.008483819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912386,"about_ca_topic_score_gemma":0.004247156,"domain_scores_codex":[0.9874281,0.009010381,0.0003403786,0.0008976939,0.001005043,0.001318365],"domain_scores_gemma":[0.9905037,0.00428693,0.0009034512,0.001179182,0.0009285609,0.002198141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001186857,0.000206482,0.006636832,0.0007484048,0.00004799322,0.0004307222,0.4826426,0.0005663348,0.001540326,0.3773753,0.01137185,0.1183146],"study_design_scores_gemma":[0.00002751092,0.0001424799,0.003776314,0.001128493,0.00003648242,0.0002343268,0.2576535,0.0005508796,0.0008016211,0.442095,0.2934799,0.00007343649],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1834282,0.01522223,0.1468098,0.3007465,0.002406628,0.0003821343,0.0002096258,0.0008335555,0.3499613],"genre_scores_gemma":[0.9048215,0.00636955,0.04546775,0.01154767,0.0005346297,0.0007830504,0.0001633776,0.0002653641,0.03004695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02420134,"threshold_uncertainty_score":0.1129205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2171214183185955,"score_gpt":0.4703433058995435,"score_spread":0.253221887580948,"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."}}