{"id":"W2108654092","doi":"10.1080/11745398.2015.1060579","title":"Intersection of family, work and leisure during academic training","year":2015,"lang":"en","type":"article","venue":"Annals of Leisure Research","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Intersection (aeronautics); Work (physics); Training (meteorology); Sociology; Gender studies; Psychology; Geography; Engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001975162,0.0001589568,0.0002457699,0.0008921194,0.006807009,0.004205581,0.0006305069,0.0007254453,0.004018224],"category_scores_gemma":[0.003434165,0.0001254997,0.0002567713,0.0006918652,0.005589639,0.002230268,0.003682489,0.0009166207,0.0002036144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002847421,"about_ca_system_score_gemma":0.003501014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161991,"about_ca_topic_score_gemma":0.02369527,"domain_scores_codex":[0.997633,0.00162939,0.00004690629,0.000119612,0.0001534459,0.0004177311],"domain_scores_gemma":[0.9976695,0.0008261182,0.0003273775,0.00009332492,0.0001633701,0.0009202266],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001723691,0.0003673939,0.1698427,0.0003362433,0.000091661,0.005583942,0.6256726,0.0006610347,0.001008534,0.04685121,0.007544339,0.1418679],"study_design_scores_gemma":[0.000006578614,0.0001216322,0.1269577,0.0002857319,0.00001803026,0.002048903,0.813545,0.0001852341,0.0002105338,0.009044755,0.04753927,0.00003667028],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315853,0.003204267,0.001340869,0.009522329,0.0001490424,0.00002208141,0.00008836691,0.00001422841,0.05407346],"genre_scores_gemma":[0.9975683,0.0006959374,0.0001515417,0.0001589507,0.00001818329,0.000008384442,0.000009518874,0.000002189018,0.001386917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9980248,"threshold_uncertainty_score":0.02310455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4956503441737414,"score_gpt":0.4988438310825852,"score_spread":0.003193486908843801,"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."}}