{"id":"W2601206292","doi":"","title":"Motherhood and Unemployment: Intersectional Experiences from Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Review of Social Policy / Revue canadienne de politique sociale","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Precarity; Socioeconomic status; Government (linguistics); Parental leave; Immigration; Wage; Labour economics; Work (physics); Demographic economics; Sociology; Political science; Economics; Gender studies; Population; Economic growth","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004107575,0.0002299353,0.0005778905,0.0001422534,0.0008716853,0.000005643034,0.0002385723,0.0001756494,0.0009442715],"category_scores_gemma":[0.0008958848,0.0002032803,0.0001106608,0.0002648152,0.0003192868,0.00008663715,0.00005743848,0.0002113799,0.000006713904],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005039397,"about_ca_system_score_gemma":0.01144925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987478,"about_ca_topic_score_gemma":0.9997048,"domain_scores_codex":[0.9973819,0.0003581275,0.0005873763,0.0002991182,0.0001075106,0.001265928],"domain_scores_gemma":[0.9981247,0.0002434004,0.0002979819,0.0001696492,0.0002689099,0.0008954282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001987388,0.00002577032,0.1213057,0.005671558,0.0004809696,0.00005392686,0.1404175,3.021488e-8,0.0001313008,0.4440579,0.2643631,0.02347246],"study_design_scores_gemma":[0.0008497866,0.00006107244,0.1892344,0.008636747,0.0001089325,0.000006044667,0.05187776,4.325045e-7,0.00003470522,0.0198541,0.728632,0.0007040275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8053891,0.004399481,0.000002416006,0.1740248,0.0005049689,0.0006002831,0.002003495,0.00002605702,0.01304938],"genre_scores_gemma":[0.9706845,0.005167393,0.0000117865,0.01869439,0.00246053,0.0003192039,0.00003153422,0.00004067348,0.002589982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4642689,"threshold_uncertainty_score":0.999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290290863889143,"score_gpt":0.3363893178411511,"score_spread":0.3073602314522368,"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."}}