{"id":"W2097852512","doi":"10.33137/q.i..v29i2.8488","title":"UFFA! Espressioni idiomatiche e ... molto di più. Leggere e comunicare","year":2008,"lang":"it","type":"article","venue":"Quaderni d italianistica","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003592564,0.0007605663,0.0009178128,0.0001453635,0.001744953,0.0004262019,0.002008098,0.0003716128,0.003355621],"category_scores_gemma":[0.001051365,0.0006996058,0.0003754884,0.0006193963,0.0006461472,0.0003238894,0.001337797,0.0005635496,0.003506118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002572728,"about_ca_system_score_gemma":0.0002640632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006954636,"about_ca_topic_score_gemma":0.00001649643,"domain_scores_codex":[0.9947039,0.0003420924,0.001063076,0.001257345,0.00120363,0.001429954],"domain_scores_gemma":[0.9955877,0.0006315113,0.0004545627,0.002179082,0.0005217474,0.000625403],"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":[0.0002695736,0.003226521,0.007940109,0.001765521,0.001781539,0.01812511,0.07873487,0.000136372,0.001485967,0.6395,0.2282749,0.01875959],"study_design_scores_gemma":[0.007009408,0.003570171,0.0507348,0.005248505,0.001824264,0.004155848,0.03453353,0.2312042,0.003278392,0.01311738,0.6349254,0.01039805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0285691,0.03386185,0.315643,0.01257153,0.01310304,0.002899866,0.0009249139,0.002063751,0.5903629],"genre_scores_gemma":[0.982085,0.0003055813,0.006907161,0.001779118,0.001422066,0.00004853362,0.00006116305,0.00008279523,0.007308539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9535159,"threshold_uncertainty_score":0.9995546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320804123910956,"score_gpt":0.2719936237055068,"score_spread":0.2387855824663972,"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."}}