{"id":"W2109820501","doi":"10.3386/w10186","title":"Stressed Out on Four Continents: Time Crunch or Yuppie Kvetch?","year":2003,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University; Alfred P. Sloan Foundation","keywords":"Crunch; Geology; Climatology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006628023,0.00023599,0.0002347407,0.0008219883,0.0041215,0.001250228,0.0003244145,0.001043923,0.0106331],"category_scores_gemma":[0.002280632,0.0001563865,0.0001677114,0.001561923,0.001558791,0.001767689,0.001532647,0.001445859,0.0007812045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310347,"about_ca_system_score_gemma":0.001300611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09083717,"about_ca_topic_score_gemma":0.1800887,"domain_scores_codex":[0.9996114,0.00009157931,0.00002206241,0.00003641287,0.00006717796,0.0001713219],"domain_scores_gemma":[0.9988756,0.000224669,0.0002771705,0.00006193115,0.0002266525,0.0003340335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001211621,0.00006136764,0.2101637,0.0002658264,0.00002888991,0.002889079,0.196263,0.0000584427,0.0008461391,0.01602984,0.5140728,0.05919966],"study_design_scores_gemma":[0.000006743056,0.00003303461,0.2609214,0.0002652424,0.00001021736,0.0009128907,0.4849948,0.00003977528,0.0001906523,0.001348433,0.2512455,0.00003133993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338994,0.005289161,0.0002725512,0.2753156,0.00168569,0.00003635397,0.002714837,0.00003952671,0.08074698],"genre_scores_gemma":[0.8982993,0.005489164,0.0001914826,0.02714374,0.000705599,0.00006596478,0.001127382,0.00004496551,0.06693252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09083717,"threshold_uncertainty_score":0.1806169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4137800165164997,"score_gpt":0.5226222846885459,"score_spread":0.1088422681720462,"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."}}