{"id":"W7001162469","doi":"","title":"Interventi e misure di contrasto alla poverta lavorativa in Italia","year":2022,"lang":"en","type":"article","venue":"IRIS Research product catalog (Sapienza University of Rome)","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); Poverty threshold; Wage; Quarter (Canadian coin); Minimum wage; Basic needs; Public work","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":[0.002369789,0.0002857606,0.0002396558,0.0007659734,0.002314974,0.003266437,0.0007802894,0.001641138,0.01244931],"category_scores_gemma":[0.004401266,0.0002030998,0.0002008455,0.0005774524,0.00290412,0.00168302,0.003285863,0.001864214,0.002097469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003260372,"about_ca_system_score_gemma":0.002768657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009528262,"about_ca_topic_score_gemma":0.01806155,"domain_scores_codex":[0.9979528,0.0009505758,0.00005270388,0.0002531138,0.000218772,0.000571963],"domain_scores_gemma":[0.9983999,0.0005173434,0.0002352276,0.0002217483,0.0001626856,0.0004630783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003981927,0.000283839,0.02744201,0.000700566,0.00003430483,0.002892821,0.04801855,0.0002917178,0.002051637,0.2194359,0.427824,0.2706266],"study_design_scores_gemma":[0.00003294446,0.00007642749,0.02193008,0.0007054078,0.00002127085,0.0006156706,0.006385616,0.0002168917,0.0006058544,0.006128283,0.9632602,0.00002139246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.200729,0.0350807,0.00226908,0.3057518,0.00539929,0.0001220245,0.0002858306,0.0003647896,0.4499976],"genre_scores_gemma":[0.8931663,0.007487897,0.001387891,0.0175717,0.002799043,0.00009780422,0.0001392435,0.0002115123,0.07713853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01244931,"threshold_uncertainty_score":0.04164702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112179500890352,"score_gpt":0.2841377146740806,"score_spread":0.243015919665177,"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."}}