{"id":"W3012445919","doi":"10.21083/ruralreview.v2i1.6064","title":"Reporting Back: Precarious Employment","year":2018,"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); Political science; Business; Economic growth; Medicine; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001221623,0.0004003407,0.000797899,0.0001347824,0.001693246,0.00002865305,0.0001861967,0.0001304819,0.0008492086],"category_scores_gemma":[0.0004165461,0.0002986476,0.00009518663,0.0002641479,0.0001079574,0.0001885121,0.0002816205,0.0004968281,0.000623978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858821,"about_ca_system_score_gemma":0.001069096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02829847,"about_ca_topic_score_gemma":0.024511,"domain_scores_codex":[0.996212,0.0001463486,0.00204457,0.0003138963,0.0003426808,0.0009405081],"domain_scores_gemma":[0.9979298,0.0001289938,0.001242462,0.0002705019,0.0001883891,0.0002398198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004121081,0.00002119874,0.8274772,0.001076285,0.000157455,0.00001409275,0.0352508,1.005966e-7,0.00003545254,0.001098551,0.0938757,0.040952],"study_design_scores_gemma":[0.0003242053,0.00007315118,0.3058625,0.008191456,0.00004163278,0.00001090346,0.0004033918,4.022647e-7,0.00002332847,0.000157545,0.6845984,0.0003130885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223635,0.02072125,0.00001523004,0.009125967,0.0007969636,0.001515879,0.000004933687,0.00018939,0.04526685],"genre_scores_gemma":[0.6797175,0.01330523,0.0032601,0.03554353,0.004467123,0.0007636573,0.00047027,0.0001655517,0.2623071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5907227,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09783367370436802,"score_gpt":0.4371190833976928,"score_spread":0.3392854096933248,"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."}}