{"id":"W2955532415","doi":"10.3390/ijerph16132406","title":"Cultural Intelligence and Work–Family Conflict: A Moderated Mediation Model Based on Conservation of Resources Theory","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Work–family conflict; Cultural intelligence; Social psychology; Expatriate; Psychology; Mediation; Work engagement; Cultural conflict; Work (physics); Moderated mediation; Conservation of resources theory; Sociology; Political science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00426685,0.00007148887,0.0001480708,0.0002549415,0.0001302061,0.0001023819,0.0002580595,0.00006560435,0.00009858919],"category_scores_gemma":[0.0004193152,0.00005986882,0.00002673351,0.0001199157,0.000499938,0.0003772817,0.00004962737,0.0003055244,0.00000385946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092894,"about_ca_system_score_gemma":0.0003568573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329179,"about_ca_topic_score_gemma":0.00003951549,"domain_scores_codex":[0.9973552,0.0005544268,0.0003434959,0.0001401159,0.00135907,0.0002476774],"domain_scores_gemma":[0.9985039,0.0007152807,0.0002593417,0.00006876088,0.0002105043,0.0002422065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002977138,0.001893091,0.6730739,0.00009212172,0.0002399489,0.00001065602,0.08324841,0.004992883,0.002825531,0.03937299,0.001986275,0.1892871],"study_design_scores_gemma":[0.002939971,0.002703466,0.8235025,0.0007110331,0.00000654905,0.00001304564,0.09276305,0.03620028,0.00017533,0.02120745,0.01935995,0.0004174046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986047,0.00101946,0.000756068,0.01026065,0.00009988854,0.0001791761,0.00002152793,0.00000455382,0.001611705],"genre_scores_gemma":[0.9922897,0.006589642,0.0002408786,0.0005611671,0.00008621845,0.000002935973,0.000008314709,0.000005896092,0.0002152324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1888697,"threshold_uncertainty_score":0.244138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181490908915854,"score_gpt":0.3922345793742021,"score_spread":0.2740854884826167,"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."}}