{"id":"W4253011204","doi":"10.1037/e338462004-001","title":"A Portrait of Precariousness in the Canadian Health Sector","year":2013,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portrait; Health sector; Art; Political science; Sociology; Art history; Demography; Health services","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001140384,0.0003846362,0.0009796906,0.0006899693,0.0001604899,0.0001422918,0.00142748,0.0003871756,0.001587726],"category_scores_gemma":[0.00002420276,0.0003653271,0.0001224849,0.0005009371,0.000137951,0.0002023476,0.00006339553,0.0006952035,0.00100496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452086,"about_ca_system_score_gemma":0.0005899181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8910484,"about_ca_topic_score_gemma":0.903387,"domain_scores_codex":[0.9970843,0.00007468741,0.001278634,0.0006978537,0.0001111744,0.0007533471],"domain_scores_gemma":[0.9970164,0.00006116177,0.0009753187,0.001700615,0.00002291423,0.0002236009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006817556,0.0001125317,0.0001189299,0.0001872277,0.00003033981,0.00002574365,0.0002645532,0.00000313143,4.712448e-8,0.001937644,0.9970932,0.0002198159],"study_design_scores_gemma":[0.0003468824,0.00006558938,0.004451089,0.0000744495,0.000008439148,0.00002124344,0.00001662852,0.000008429943,2.598672e-7,0.0004109677,0.9942271,0.0003689266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002227278,0.002781722,0.000004957732,0.0008768057,0.0006779907,0.0007409101,0.993694,0.000007706181,0.0009931846],"genre_scores_gemma":[0.002823052,0.001188051,0.00008202469,0.003233176,0.0001990378,0.00009687973,0.9922923,0.000032018,0.00005347195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01233858,"threshold_uncertainty_score":0.9998799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297714861257905,"score_gpt":0.2618157375552175,"score_spread":0.2088385889426384,"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."}}