{"id":"W3107076978","doi":"","title":"Motherhood in Academia : A Novel Dataset with an Application to Maternity Leave Uptake","year":2020,"lang":"en","type":"article","venue":"Warwick Research Archive Portal (University of Warwick)","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maternity leave; Quarter (Canadian coin); Statutory law; Legislation; Productivity; Equity (law); Demographic economics; Business; Parental leave; Labour economics; Political science; Economic growth; Economics; Law; Geography; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001487814,0.0001771801,0.0003325971,0.0003237705,0.0004609933,0.00003556325,0.001405745,0.0002482962,0.0003453621],"category_scores_gemma":[0.0001869642,0.000201718,0.00004977556,0.001087191,0.0009959339,0.0005772413,0.0004501372,0.001382166,0.0001707832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056335,"about_ca_system_score_gemma":0.0005259555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01739533,"about_ca_topic_score_gemma":0.06847457,"domain_scores_codex":[0.9966524,0.0004190591,0.0002060529,0.0007259854,0.001200898,0.0007956388],"domain_scores_gemma":[0.9982771,0.0001819901,0.0001236062,0.0004476477,0.0001720149,0.0007976854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.006023552,0.002253894,0.2701729,0.0004841087,0.0002978845,0.0005473072,0.58485,0.001142497,0.0289882,0.01954594,0.04905382,0.03663992],"study_design_scores_gemma":[0.002372535,0.001489655,0.6080183,0.0001933729,0.00002673375,0.000005574856,0.3044917,0.001237237,0.0001618107,0.001836694,0.07943357,0.0007328035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666464,0.00003843458,0.006564307,0.008812488,0.00002100372,0.001370455,0.001954183,0.000116096,0.0144766],"genre_scores_gemma":[0.992569,0.00016011,0.006314886,0.0001938613,0.0001152683,0.000005638447,0.0004289861,0.00002526248,0.0001869938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3378455,"threshold_uncertainty_score":0.9891479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07135797191531415,"score_gpt":0.3351985281086418,"score_spread":0.2638405561933277,"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."}}