{"id":"W2186388955","doi":"","title":"PART-TIME EMPLOYMENT IN RURAL CANADA","year":2002,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Rural area; Geography; Part-time employment; Socioeconomics; Incidence (geometry); Rural settlement; Work (physics); Political science; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003918424,0.0001959357,0.0002787678,0.001777627,0.004249108,0.001381742,0.0008677114,0.0002557842,0.009048489],"category_scores_gemma":[0.001214851,0.0002625603,0.0003085886,0.005076691,0.000540416,0.0002817669,0.0007870034,0.0006415711,0.0005124637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01869974,"about_ca_system_score_gemma":0.04532268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927801,"about_ca_topic_score_gemma":0.9967019,"domain_scores_codex":[0.999206,0.00004069115,0.00002589513,0.00008035439,0.0002463675,0.0004008424],"domain_scores_gemma":[0.9982691,0.00004114452,0.0002171399,0.00003318925,0.0005382913,0.0009011106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002579629,0.0001388357,0.8643379,0.0003447072,0.00008575026,0.001010932,0.00384962,0.0004147069,0.00107387,0.002429184,0.03283695,0.09321962],"study_design_scores_gemma":[0.0000153683,0.00003747903,0.9791581,0.0001093171,0.000018053,0.0003381044,0.003845237,0.0002303778,0.0001083572,0.0001506563,0.01596911,0.00001975483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499496,0.005203735,0.0002664194,0.002852607,0.0001261692,0.0001107443,0.0112442,0.00005944711,0.03018716],"genre_scores_gemma":[0.9820774,0.004470237,0.0002245584,0.0004110924,0.00002257914,0.00002700318,0.003020805,0.00001985985,0.009726501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01869974,"threshold_uncertainty_score":0.1356767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220332065328907,"score_gpt":0.1756632807756977,"score_spread":0.1634599601224086,"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."}}