{"id":"W2963086030","doi":"10.1177/0020715219849463","title":"Part-time employment as a way to increase women’s employment: (Where) does it work?","year":2019,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Labour economics; Economics; Part-time employment; Working time; Demographic economics; Time allocation; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002186012,0.0002342582,0.0004737324,0.0006798507,0.0008639,0.002318806,0.001031231,0.001309771,0.01284291],"category_scores_gemma":[0.005065092,0.000188099,0.0008556723,0.001049424,0.001956401,0.001744946,0.001296435,0.0006388961,0.0009404697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723196,"about_ca_system_score_gemma":0.00124327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002537382,"about_ca_topic_score_gemma":0.007139296,"domain_scores_codex":[0.9987867,0.0006326332,0.00003532167,0.0001423385,0.0001264145,0.0002764664],"domain_scores_gemma":[0.9972574,0.0009510814,0.0008282171,0.000271349,0.0001576826,0.0005343166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008944093,0.0005371633,0.4611153,0.001658062,0.0005955264,0.001175997,0.01339372,0.001489682,0.00414632,0.1223082,0.01095957,0.3817261],"study_design_scores_gemma":[0.0001199153,0.001014227,0.7989853,0.002318601,0.0003883809,0.00109188,0.03589775,0.001187317,0.001952024,0.05251479,0.1044541,0.00007570846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522234,0.02520572,0.008263927,0.06015561,0.000695982,0.00009175426,0.0007849233,0.00005351346,0.05252507],"genre_scores_gemma":[0.9899665,0.003530393,0.001465707,0.001834961,0.000224169,0.00003882128,0.00009011133,0.00001270897,0.002836596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01284291,"threshold_uncertainty_score":0.04296386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284541315542322,"score_gpt":0.4281490765506329,"score_spread":0.3753036633952097,"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."}}