{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003371403,0.0002729737,0.0002541702,0.0008385462,0.002152633,0.002776545,0.0007791337,0.001657009,0.01359593],"category_scores_gemma":[0.00664776,0.0002259748,0.0002231294,0.0006074382,0.002467112,0.001471025,0.003405995,0.00176752,0.002199284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003380117,"about_ca_system_score_gemma":0.003720735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177909,"about_ca_topic_score_gemma":0.01811481,"domain_scores_codex":[0.9971592,0.001432913,0.0000708791,0.0003138426,0.0002641912,0.0007589441],"domain_scores_gemma":[0.9971396,0.001019723,0.0004615473,0.0003768473,0.0002529184,0.0007493059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005918489,0.0004679268,0.05039849,0.0008486548,0.0000500173,0.002615442,0.04313783,0.000480833,0.002190637,0.1495412,0.4430954,0.3065816],"study_design_scores_gemma":[0.00007434887,0.0001463142,0.05680432,0.001121621,0.00003998843,0.0006222146,0.007846345,0.0004208958,0.0009133836,0.00762755,0.9243448,0.00003812111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2804363,0.02966334,0.002569144,0.3341837,0.004229707,0.0001662067,0.000492697,0.0004200356,0.3478388],"genre_scores_gemma":[0.923154,0.005653196,0.001215242,0.01696659,0.002254582,0.0001363386,0.0001863174,0.0001894096,0.05024426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01359593,"threshold_uncertainty_score":0.04548293,"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."}}