{"id":"W3112522908","doi":"10.24818/ea/2020/s14/1159","title":"Heavy Work Investment from the Perspective of Cultural Factors and Outcomes by Types of Investors","year":2020,"lang":"en","type":"article","venue":"Amfiteatru Economic","topic":"Workaholism, burnout, and well-being","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Investment (military); Work (physics); Phenomenon; Situational ethics; Perspective (graphical); Directive; Regression analysis; Demographic economics; Business; Economics; Psychology; Social psychology; Political science; Statistics; Politics; 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":[0.001515322,0.0002309927,0.0001799724,0.001081121,0.0004371546,0.001471347,0.0002064756,0.0002282302,0.001964048],"category_scores_gemma":[0.004136914,0.00008557257,0.0003127428,0.0006957753,0.0009712476,0.0005709635,0.001039561,0.0004544077,0.0001286165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400262,"about_ca_system_score_gemma":0.0003195474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534956,"about_ca_topic_score_gemma":0.00230449,"domain_scores_codex":[0.9991192,0.0003928954,0.00006793998,0.00006173772,0.0001612349,0.0001969777],"domain_scores_gemma":[0.9962477,0.001126471,0.001650242,0.000163425,0.000236599,0.0005756144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009298659,0.0001163736,0.9835947,0.00002599192,0.00005821555,0.0001442979,0.003509716,0.0002256027,0.0003123523,0.001095462,0.00007670739,0.01074765],"study_design_scores_gemma":[0.000002683803,0.0001037428,0.9867674,0.00003404045,0.00002033949,0.0001588432,0.01104763,0.0004122854,0.0001542424,0.0007433848,0.0005472157,0.000008227621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963955,0.0001698869,0.0002825184,0.0001256531,0.000006139998,0.000006970713,0.00002492751,0.000001030458,0.002987399],"genre_scores_gemma":[0.9996601,0.00006961149,0.00005901499,0.000009085958,0.000004005288,0.000002706544,0.00001443392,5.338647e-7,0.0001803723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001964048,"threshold_uncertainty_score":0.008013904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144510144745273,"score_gpt":0.2714395265805163,"score_spread":0.2499944251330636,"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."}}