{"id":"W4385190641","doi":"10.32920/23739345","title":"Precarious Employment: Causes, Consequences and Remedies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precarity; Immigration; Precarious work; Sociology; Demographic economics; Political science; Labour economics; Gender studies; Economics; Work (physics); Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0007487437,0.0001503554,0.0002428536,0.00008528439,0.0004526886,0.0002374266,0.0002382873,0.0002625276,0.000388197],"category_scores_gemma":[0.0002632191,0.0001416666,0.00005577087,0.00007756875,0.0009680827,0.0001088058,0.00027638,0.0002153327,0.00009355697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008102816,"about_ca_system_score_gemma":0.0004662948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1908595,"about_ca_topic_score_gemma":0.6763141,"domain_scores_codex":[0.9986972,0.0001434004,0.0002558101,0.0004087273,0.0002246615,0.0002702207],"domain_scores_gemma":[0.9992967,0.0001681745,0.0001227572,0.0002011312,0.00008697512,0.0001242895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001572001,0.00007241069,0.1297094,0.0003482006,0.0004188179,0.00003285749,0.5764853,0.0001035412,0.00004563388,0.1188553,0.1673597,0.006553179],"study_design_scores_gemma":[0.0003270255,0.00007407399,0.03020857,0.0003152188,0.0001627235,0.000002486192,0.04599875,0.00008004181,0.000351291,0.4094636,0.511717,0.001299168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6194456,0.008387493,0.0003817027,0.04504392,0.007858758,0.00263019,0.0001415748,0.002104956,0.3140058],"genre_scores_gemma":[0.8241335,0.01752087,0.0004906982,0.0003787068,0.0008542111,0.0001377684,0.00004310514,0.00002445862,0.1564167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5304865,"threshold_uncertainty_score":0.8145286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223123369071383,"score_gpt":0.3442471030709474,"score_spread":0.2520158693802336,"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."}}