{"id":"W4413616956","doi":"10.2196/73896","title":"Exploring Subjective Well-Being in Human-Machine Interaction: Protocol for a Mixed Methods, Cross-Sectional Analysis in Manufacturing 5.0","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Protocol (science); Computer science; Psychology; Medicine; World Wide Web; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07793543,0.003034651,0.003025195,0.003326406,0.003293682,0.003036078,0.003041676,0.003405298,0.0437081],"category_scores_gemma":[0.0771955,0.002231835,0.003693399,0.003539746,0.00224345,0.001687199,0.003489154,0.004732201,0.009812068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004367739,"about_ca_system_score_gemma":0.01424308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814121,"about_ca_topic_score_gemma":0.004585237,"domain_scores_codex":[0.9591516,0.02933843,0.004554283,0.002169666,0.002818094,0.001967874],"domain_scores_gemma":[0.9133296,0.03948297,0.00718989,0.0145999,0.02331853,0.00207915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05620583,0.02356786,0.01261438,0.07680568,0.001681303,0.002065309,0.03586783,0.0118913,0.02446222,0.03279121,0.2419142,0.4801328],"study_design_scores_gemma":[0.0420896,0.0336098,0.1086186,0.02992385,0.001298405,0.0004897146,0.02374598,0.01424045,0.02003304,0.0319986,0.6926146,0.001337433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.006164901,0.0002125033,0.01869138,0.0003811908,0.0004306884,0.967407,0.004316628,0.0004130621,0.001982532],"genre_scores_gemma":[0.001130001,0.00003329497,0.008548782,0.0000693555,0.00001047491,0.9898045,0.0001662612,0.00001269159,0.0002247579],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07793543,"threshold_uncertainty_score":0.4121668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3730754204390382,"score_gpt":0.6703667926546105,"score_spread":0.2972913722155723,"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."}}