{"id":"W4229719906","doi":"10.21083/ruralreview.v1i1.5991","title":"Precarious Employment in Rural Ontario","year":2017,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Presentation (obstetrics); Economic growth; Political science; Rural community; Rural area; Sociology; Socioeconomics; Medicine; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008828049,0.0001806589,0.0002944985,0.001323219,0.004258049,0.001562657,0.000711391,0.0004942542,0.004622328],"category_scores_gemma":[0.002305837,0.0001927166,0.0002468732,0.004588082,0.001823594,0.0004857085,0.0009158524,0.0005697485,0.000190226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04573487,"about_ca_system_score_gemma":0.1156476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847655,"about_ca_topic_score_gemma":0.9965314,"domain_scores_codex":[0.9992771,0.0001109422,0.00003968766,0.00005454779,0.000281104,0.0002366194],"domain_scores_gemma":[0.9984804,0.0002172795,0.0002831333,0.00002765465,0.0006397328,0.0003517598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005036891,0.0001597617,0.145265,0.02971443,0.000269201,0.004752796,0.1284468,0.0008152956,0.002420671,0.04021966,0.1081111,0.5393215],"study_design_scores_gemma":[0.00006175492,0.0001754921,0.3924196,0.009885365,0.000173193,0.0009192601,0.08537438,0.00009883157,0.0002441882,0.001722578,0.5088778,0.00004762916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2688571,0.5918681,0.0002188593,0.03663246,0.0008493133,0.0002192032,0.001791989,0.00002191936,0.09954112],"genre_scores_gemma":[0.5456375,0.433048,0.0003161775,0.002758614,0.0002123503,0.0001157264,0.0005489148,0.0000125019,0.01735006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04573487,"threshold_uncertainty_score":0.3318313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07458298283769159,"score_gpt":0.4166317136331563,"score_spread":0.3420487307954647,"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."}}