{"id":"W2805877561","doi":"10.1037/apl0000327","title":"The unintended consequences of maternity leaves: How agency interventions mitigate the negative effects of longer legislated maternity leaves.","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Psychology","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Agency (philosophy); Context (archaeology); Psychological intervention; Harm; Maternity leave; Psychology; Perception; Unintended consequences; Nursing; Social psychology; Medicine; Political science; Demographic economics; Sociology; Economics; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002259439,0.0001287496,0.0003458563,0.00009165049,0.0005482108,0.00005116619,0.0008519398,0.0001460512,0.0002941041],"category_scores_gemma":[0.0002952296,0.0000783685,0.0002570478,0.000276194,0.006543787,0.0001436281,0.00007977371,0.0003578014,0.00002758211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003869755,"about_ca_system_score_gemma":0.0001197438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384359,"about_ca_topic_score_gemma":0.0003192301,"domain_scores_codex":[0.9977681,0.0008810131,0.0005460187,0.0001514659,0.0003642741,0.000289107],"domain_scores_gemma":[0.9974149,0.0004340187,0.001252653,0.0002617619,0.0005493595,0.00008725801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00708545,0.002935849,0.02461414,0.001144406,0.005749245,0.0001475917,0.4759177,0.00002645022,0.1426189,0.2573025,0.05329338,0.02916434],"study_design_scores_gemma":[0.004985411,0.003566911,0.360784,0.000651532,0.000771259,0.00007817202,0.09313288,0.000006779272,0.2062056,0.315923,0.01323779,0.0006566211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713434,0.0001362024,0.0003574427,0.005698576,0.000951972,0.0002889789,0.00001553506,0.00001121347,0.02119667],"genre_scores_gemma":[0.9986518,0.0002584546,0.0001227488,0.0002022165,0.0001410519,0.000002929589,4.054508e-7,0.000005644375,0.0006147361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3827848,"threshold_uncertainty_score":0.9961599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0878367358324273,"score_gpt":0.360564321353478,"score_spread":0.2727275855210508,"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."}}