{"id":"W2326750051","doi":"10.32920/23739531.v1","title":"The Precarity Penalty: How Insecure Employment Disadvantages Workers and Their Families","year":2023,"lang":"en","type":"article","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McMaster University; Collège Laflèche; York University","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Precarity; Earnings; Poverty; Demographic economics; Distribution (mathematics); Labour economics; Sociology; Economic growth; Economics; Gender studies","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005945632,0.0001892322,0.0002092524,0.00005287427,0.00276582,0.00003801415,0.000160448,0.00008396493,0.0000552733],"category_scores_gemma":[0.0001367145,0.00009168087,0.00005502777,0.0002497136,0.0001871969,0.0001074692,0.0004751561,0.0003236989,0.00008267601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003704035,"about_ca_system_score_gemma":0.00004330968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000425322,"about_ca_topic_score_gemma":0.006551955,"domain_scores_codex":[0.9985633,0.0002614399,0.0002093679,0.0002475645,0.0001699815,0.0005482684],"domain_scores_gemma":[0.9981939,0.001318727,0.000075616,0.0002657834,0.00006392394,0.00008202144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003055973,0.00001124262,0.7774411,0.00005392533,0.00009114823,0.000001436904,0.01160023,5.386922e-7,0.00003485673,0.003069366,0.1990447,0.008620856],"study_design_scores_gemma":[0.0002997392,0.00005247159,0.5485803,0.0000774752,0.00001396008,2.363846e-7,0.1185684,0.00002038612,0.00002850481,0.002797764,0.3294092,0.0001515251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809392,0.001353284,0.00002547625,0.09445634,0.0008294553,0.0009668017,0.00003275135,0.0005607718,0.02083591],"genre_scores_gemma":[0.9345774,0.005566308,0.00001045984,0.0005656643,0.0001741887,0.0002870478,0.00001536662,0.00002312602,0.05878041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2288607,"threshold_uncertainty_score":0.9985324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05494175855435038,"score_gpt":0.384569357217007,"score_spread":0.3296275986626566,"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."}}