{"id":"W3165811229","doi":"10.5093/jwop2021a8","title":"Heavy-Work Investment: Its dimensionality, Invariance across 9 Countries and Levels before and during the COVID-19’s Pandemic","year":2021,"lang":"es","type":"article","venue":"Journal of Work and Organizational Psychology","topic":"Workaholism, burnout, and well-being","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Construct (python library); Work (physics); Investment (military); Exploratory research; Geography; Demographic economics; Political science; Economics; Sociology; Computer science; Politics; Social science; Engineering; Medicine","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":[0.002073345,0.000163157,0.0003154017,0.001142714,0.0005959634,0.001052033,0.0002933924,0.0002597081,0.001246184],"category_scores_gemma":[0.003337113,0.0002147135,0.0004715176,0.001685822,0.0008320794,0.0006463878,0.001342474,0.0006005793,0.0001441625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082001,"about_ca_system_score_gemma":0.000533022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004290245,"about_ca_topic_score_gemma":0.00523234,"domain_scores_codex":[0.998715,0.0004941025,0.0001497214,0.0002132468,0.000162992,0.0002648122],"domain_scores_gemma":[0.997261,0.0009446249,0.0008350265,0.0003894319,0.0002994818,0.000270339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006319491,0.00003862331,0.9932773,0.00001577894,0.0000511384,0.00002267851,0.001752571,0.000101977,0.0002501908,0.0002317573,0.00007269326,0.004122104],"study_design_scores_gemma":[0.000001417778,0.00003400996,0.9967944,0.000009649681,0.000007582368,0.00002279837,0.002682242,0.00009758006,0.00007263439,0.00006206969,0.0002120288,0.00000354453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985723,0.00007302784,0.000176298,0.00003781762,0.000006140422,0.00001228084,0.0001562607,0.000001579717,0.0009640788],"genre_scores_gemma":[0.9995592,0.00002305012,0.000125249,0.000007368652,0.000002992308,0.0000133949,0.0002093175,0.000001191975,0.00005817712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004290245,"threshold_uncertainty_score":0.01096505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234085203421432,"score_gpt":0.3466045460920181,"score_spread":0.3142636940578037,"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."}}