{"id":"W4205213058","doi":"10.7202/1083581ar","title":"The Geographies of Precarious Labour in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geography; Census; Metropolitan area; Spatial ecology; Economic geography; Regional science; Spatial analysis; Range (aeronautics); Scale (ratio); Geographically Weighted Regression; Logistic regression; Cartography; Demography; Sociology; Population; Statistics; Ecology; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007640611,0.00004825317,0.000124801,0.0001455533,0.0009130208,0.000008938152,0.0003349016,0.00001816669,0.00004155625],"category_scores_gemma":[0.0004323425,0.00003186296,0.00003104948,0.0008597434,0.0004589811,0.0000894868,0.00002736198,0.0002398026,6.887473e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005397013,"about_ca_system_score_gemma":0.04750635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9727602,"about_ca_topic_score_gemma":0.9997885,"domain_scores_codex":[0.9987868,0.00008903335,0.0003198964,0.00007356067,0.0003560861,0.0003746121],"domain_scores_gemma":[0.9984232,0.0002885238,0.0002048661,0.00009944935,0.0007135252,0.0002704052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004131276,0.00000177719,0.9745554,0.000009105011,0.000008214645,0.00008499646,0.001244199,0.00001595546,0.00004431481,0.01007018,0.0128383,0.001123452],"study_design_scores_gemma":[0.0001282101,0.0000133103,0.8397123,0.0001232442,0.000002737929,0.00001388294,0.005931635,0.000001778624,0.00002642592,0.001492534,0.1525162,0.00003775028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652105,0.004459646,0.000001263876,0.02766963,0.0007802048,0.00005273474,0.000007534363,6.091171e-7,0.001817898],"genre_scores_gemma":[0.9981499,0.0003676868,0.00002548325,0.0006755423,0.00006107669,0.000001575649,1.827285e-7,0.00000235938,0.0007161436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396779,"threshold_uncertainty_score":0.9578934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371840847185126,"score_gpt":0.3282034241779901,"score_spread":0.2944850157061388,"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."}}