{"id":"W7055724601","doi":"","title":"Dal credito speciale alle particolari operazioni di credito","year":2004,"lang":"it","type":"book-chapter","venue":"CINECA IRIS Institutial research information system (University of Pisa)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Public investment","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":["sts","insufficient_payload"],"category_scores_codex":[0.00550873,0.0007854187,0.001584015,0.001167926,0.002404009,0.0008628158,0.003013168,0.001217515,0.01277164],"category_scores_gemma":[0.0009237428,0.000877513,0.0004104333,0.0003152051,0.002981156,0.006321363,0.002413574,0.001102362,0.02011072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563854,"about_ca_system_score_gemma":0.003118554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536931,"about_ca_topic_score_gemma":0.0001265311,"domain_scores_codex":[0.9912634,0.0005539331,0.001758789,0.0008467333,0.004183266,0.001393902],"domain_scores_gemma":[0.9926665,0.0002345863,0.001384748,0.001683221,0.003210883,0.0008200096],"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":[0.01365487,0.0005717608,0.0001690497,0.01918535,0.001136934,0.001084063,0.03014536,0.01257257,0.1303937,0.71479,0.07151286,0.004783508],"study_design_scores_gemma":[0.006967577,0.001416057,0.0008727003,0.006188318,0.0002483054,0.000114624,0.01696889,0.0006395634,0.01092807,0.0001752457,0.9536579,0.001822789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2035394,0.0002013401,0.007028409,0.001911229,0.01946151,0.006887553,0.004309685,0.0006247844,0.756036],"genre_scores_gemma":[0.9843159,0.0002092467,0.0009723729,0.00004036512,0.003703779,0.000008613447,0.00028682,0.0000662466,0.01039661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.882145,"threshold_uncertainty_score":0.9997321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08624564721537928,"score_gpt":0.2783817178801272,"score_spread":0.1921360706647479,"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."}}