{"id":"W2083683399","doi":"10.1177/000312240907400606","title":"When Work Interferes with Life: Work-Nonwork Interference and the Influence of Work-Related Demands and Resources","year":2009,"lang":"en","type":"article","venue":"American Sociological Review","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":481,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Perspective (graphical); Distribution (mathematics); Social psychology; Set (abstract data type); Work stress; Psychology; Sociology; Computer science; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001690637,0.0002590776,0.0009698322,0.00002978842,0.0002646305,0.00005493974,0.0005728781,0.0001300865,0.00008212686],"category_scores_gemma":[0.001747591,0.00013698,0.00009522577,0.0008428797,0.008335163,0.0001050679,0.0001471923,0.000525347,0.000006421355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003633857,"about_ca_system_score_gemma":0.00005297592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002846,"about_ca_topic_score_gemma":0.00001901481,"domain_scores_codex":[0.9970411,0.001294174,0.0005003657,0.0004430347,0.0002924592,0.0004288465],"domain_scores_gemma":[0.9969908,0.001887005,0.0005092289,0.0003048746,0.0001067218,0.00020136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008249064,0.000101915,0.5995302,0.0001600288,0.0001794152,0.000007357075,0.0371004,0.00001100435,0.000002286931,0.005379661,0.00305652,0.3536463],"study_design_scores_gemma":[0.0006018559,0.0006369229,0.9624256,0.01009197,0.0001711953,0.000002806835,0.007028762,2.756882e-7,2.71022e-7,0.005800566,0.01279209,0.0004476521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7822751,0.2005738,0.00002132259,0.01403327,0.00001790325,0.0004718162,0.000001125372,0.00007765066,0.002528024],"genre_scores_gemma":[0.760272,0.2366181,0.0003242242,0.002605514,0.00004219425,0.00003307706,8.040121e-7,0.000006831553,0.00009728123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3628955,"threshold_uncertainty_score":0.9943636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183815222916762,"score_gpt":0.2949161302678984,"score_spread":0.2730779780387307,"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."}}