{"id":"W6958665976","doi":"10.7384/107275","title":"Interventi e misure di contrasto alla poverta lavorativa in Italia","year":2022,"lang":"it","type":"article","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Legal and Labor Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Redistribution (election); Work (physics); Wage; Public policy; Quarter (Canadian coin); Minimum wage","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002458124,0.0004414019,0.0006237326,0.002328169,0.003876101,0.0009162597,0.001062212,0.00013432,0.001084627],"category_scores_gemma":[0.0003248931,0.0004629055,0.0002901028,0.003769328,0.0003928487,0.008160432,0.002680179,0.001070008,0.001356056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273714,"about_ca_system_score_gemma":0.000539146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637866,"about_ca_topic_score_gemma":0.001476715,"domain_scores_codex":[0.9941319,0.0003254625,0.0009899521,0.0004920507,0.003047635,0.001013],"domain_scores_gemma":[0.9972935,0.0001775734,0.0005372945,0.000385128,0.001512811,0.00009373476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001299954,0.000861194,0.1047815,0.003091658,0.001073819,0.0004769943,0.008532012,0.004865915,0.00001553466,0.8068603,0.06395508,0.004186064],"study_design_scores_gemma":[0.005048533,0.0001601399,0.1016972,0.000809051,0.00009630001,0.0000215462,0.1139511,0.00925111,0.000002522914,0.00007088174,0.7682505,0.0006410133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4642484,0.00304828,0.0007867947,0.009768107,0.005498619,0.003729193,0.001348918,0.0003408632,0.5112308],"genre_scores_gemma":[0.9939734,0.00004203939,0.000006893745,0.0001956555,0.0003608603,0.0001375942,0.0005053091,0.00001745211,0.004760783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8067895,"threshold_uncertainty_score":0.9998285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588631274475352,"score_gpt":0.2880344494729154,"score_spread":0.2321481367281619,"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."}}