{"id":"W2337812215","doi":"10.14288/1.0094889","title":"The influence of industrial structure on female labour force participation in Canadian urban areas","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005923186,0.0002941548,0.0002907349,0.001997515,0.002569229,0.001185581,0.0009365233,0.0002690712,0.004947796],"category_scores_gemma":[0.002142039,0.0001666501,0.0004003692,0.002709544,0.0008187895,0.0002067218,0.000969539,0.0003079514,0.0003976791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01380475,"about_ca_system_score_gemma":0.01200964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885195,"about_ca_topic_score_gemma":0.9954756,"domain_scores_codex":[0.9991736,0.00007498508,0.00002277292,0.0000822463,0.0002259582,0.0004204122],"domain_scores_gemma":[0.9988539,0.0001399469,0.0001519944,0.00004323587,0.0004012952,0.0004097023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001071959,0.00003971722,0.9750318,0.00002728983,0.0000302317,0.0001459444,0.003352217,0.0002266655,0.0004516216,0.0004148287,0.001275635,0.01889677],"study_design_scores_gemma":[0.000001405403,0.000007949335,0.9970087,0.00001069285,0.000004395548,0.0000247713,0.001895388,0.0001149775,0.00003204691,0.00001542439,0.000879927,0.000004352341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928954,0.0002922345,0.00003979263,0.0002203042,0.000005019083,0.00001223251,0.0007321293,0.000005646331,0.005797254],"genre_scores_gemma":[0.9973627,0.0002716343,0.00004874655,0.00002455571,0.000003309932,0.000006642495,0.0003750591,0.000003518542,0.001903785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01380475,"threshold_uncertainty_score":0.100161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060503857460045,"score_gpt":0.2718156669882592,"score_spread":0.2512106284136587,"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."}}