{"id":"W4393370567","doi":"","title":"Be happy at work : towards an explanatory model of happiness at work","year":2019,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Explanatory model; Work (physics); Psychology; Social psychology; Epistemology; Engineering; Philosophy; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002298399,0.001505053,0.002697818,0.0003486661,0.001037597,0.0000371313,0.00179411,0.002144616,0.003425055],"category_scores_gemma":[0.000390344,0.001366822,0.0007218035,0.00057625,0.0008174384,0.000301191,0.006663017,0.002577032,0.001944512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503035,"about_ca_system_score_gemma":0.0006938233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829593,"about_ca_topic_score_gemma":0.001941256,"domain_scores_codex":[0.9909383,0.00168714,0.002156081,0.001780588,0.001394607,0.00204328],"domain_scores_gemma":[0.9927227,0.001333611,0.001549631,0.003065487,0.0006835702,0.000644934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003609343,0.001928864,0.4377881,0.008688468,0.00282902,0.0000598632,0.2435333,0.02154824,0.0003871169,0.1312796,0.1355484,0.01279976],"study_design_scores_gemma":[0.006791403,0.0007794917,0.1373248,0.03272188,0.002651203,0.00001018057,0.04771609,0.004477319,0.0008545008,0.02421798,0.7346823,0.007772814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7135831,0.007120196,0.0004619498,0.01167099,0.00627891,0.003465086,0.0009097251,0.0003845336,0.2561255],"genre_scores_gemma":[0.9080455,0.00393786,0.0008618432,0.001302687,0.001115435,0.0006431433,0.0004148839,0.0003041807,0.08337446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.599134,"threshold_uncertainty_score":0.9997699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153497094160788,"score_gpt":0.3827089592737493,"score_spread":0.2292118651129613,"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."}}