{"id":"W2000181248","doi":"10.1108/00483481011030539","title":"Work intensity: potential antecedents and consequences","year":2010,"lang":"en","type":"article","venue":"Personnel Review","topic":"Workaholism, burnout, and well-being","field":"Psychology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Work Intensity; Work (physics); Psychology; Measure (data warehouse); Intensity (physics); Exploratory research; Social psychology; Sociology; Computer science","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":[0.002257581,0.0002594302,0.0003896809,0.001166022,0.0004516334,0.001229204,0.0004669242,0.0004985765,0.003543185],"category_scores_gemma":[0.008083412,0.0002211326,0.0006148547,0.001029756,0.0008250861,0.0005456536,0.0009099741,0.0006359854,0.0002749675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005049683,"about_ca_system_score_gemma":0.0008433139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006974004,"about_ca_topic_score_gemma":0.001119846,"domain_scores_codex":[0.9985434,0.0005690155,0.0002148901,0.0001577724,0.0003726561,0.0001422589],"domain_scores_gemma":[0.9901703,0.005349941,0.003032856,0.0003164621,0.0006358322,0.0004945173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003429436,0.0007229836,0.8864596,0.001676604,0.0002501513,0.000345541,0.0009057532,0.0004463712,0.001390512,0.001672443,0.0005150344,0.1052721],"study_design_scores_gemma":[0.00001256253,0.0003748475,0.9918833,0.0006194111,0.0001501826,0.0006460942,0.001657733,0.0004025188,0.0005547485,0.002157555,0.001526881,0.00001415661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651935,0.0211613,0.002624562,0.001937357,0.0001147751,0.0001619922,0.0002903952,0.00002853416,0.008487648],"genre_scores_gemma":[0.9953242,0.003466351,0.0006141972,0.0001261331,0.0000630756,0.00004712629,0.00007397113,0.000004110846,0.0002808465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543185,"threshold_uncertainty_score":0.01193941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766261114375015,"score_gpt":0.3033292675844025,"score_spread":0.2856666564406524,"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."}}