{"id":"W7036335432","doi":"","title":"Articolazione delle esperienze: dal reddito di inclusione al reddito di cittadinanza","year":2021,"lang":"it","type":"book-chapter","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Eu countries; Pension system","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":[0.001842765,0.0005922602,0.000351602,0.00212261,0.002817397,0.014356,0.001376618,0.002409339,0.02432897],"category_scores_gemma":[0.00314781,0.0003478021,0.0004076139,0.003360938,0.007047687,0.00944739,0.005231826,0.004652113,0.006453588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004704332,"about_ca_system_score_gemma":0.006735983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00822012,"about_ca_topic_score_gemma":0.0164658,"domain_scores_codex":[0.9981253,0.0006428356,0.00004712966,0.0002633629,0.0006751813,0.0002462807],"domain_scores_gemma":[0.9981092,0.0008117309,0.000106846,0.0002412327,0.000524432,0.0002065038],"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":[0.00001537974,0.00002213728,0.000537515,0.0003051825,0.000005886772,0.0001323663,0.009201167,0.00008712212,0.0003020476,0.7952702,0.1029354,0.09118551],"study_design_scores_gemma":[0.000002533892,0.00001166325,0.00093388,0.0005164704,0.000006816278,0.0001596712,0.003036761,0.00008928077,0.0002368433,0.03820144,0.9567977,0.000007048342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005610015,0.02971263,0.005598632,0.03810461,0.002681689,0.00004537246,0.0001081805,0.00008590185,0.918053],"genre_scores_gemma":[0.1430477,0.04758336,0.006102193,0.01128163,0.003389137,0.0002294829,0.0003304406,0.0004150496,0.787621],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02432897,"threshold_uncertainty_score":0.08138853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969266158420011,"score_gpt":0.2965122442413848,"score_spread":0.2468195826571847,"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."}}