{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516594,0.0004759008,0.0005339793,0.002479232,0.009137243,0.005273307,0.001699788,0.001482809,0.009619804],"category_scores_gemma":[0.006617806,0.0002971117,0.0005321768,0.002661472,0.01160386,0.001664361,0.003939931,0.002946573,0.0008463298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01623764,"about_ca_system_score_gemma":0.03933993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4988126,"about_ca_topic_score_gemma":0.6737026,"domain_scores_codex":[0.9982556,0.0002020431,0.00005823749,0.0001221101,0.0006855261,0.0006765084],"domain_scores_gemma":[0.9977272,0.0003366366,0.0003353219,0.0001391376,0.0008957348,0.0005660195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009427476,0.0001447743,0.07905869,0.00139976,0.0000947411,0.007460792,0.0514374,0.001079499,0.00104217,0.2283908,0.2474315,0.3823655],"study_design_scores_gemma":[0.00001985122,0.00006847506,0.1763436,0.004967479,0.00008407592,0.004346429,0.1420025,0.000548287,0.001246621,0.08329295,0.5869172,0.0001624123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1921595,0.176794,0.004164506,0.3070453,0.008254214,0.0003593039,0.003042896,0.0005214471,0.3076589],"genre_scores_gemma":[0.8111911,0.1150399,0.002591343,0.006935332,0.001480196,0.00008936871,0.0007175409,0.0002422288,0.0617131],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4988126,"threshold_uncertainty_score":0.9918185,"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."}}