{"id":"W7062502157","doi":"","title":"Toponomastique et lexicographie bilingue: le cas des dictionnaires francais-italien","year":2006,"lang":"it","type":"article","venue":"Florence Research (University of Florence)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Liquation; Fusible alloy; Dysgeusia","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"],"consensus_categories":["sts"],"category_scores_codex":[0.001194573,0.000380481,0.0005287846,0.0007147808,0.001668449,0.0001688404,0.0007346684,0.0002154744,0.0003917568],"category_scores_gemma":[0.00005528786,0.0004591749,0.0003760393,0.00143406,0.003537803,0.0008165315,0.000522159,0.0009377223,0.0001161078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909912,"about_ca_system_score_gemma":0.001163186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04823887,"about_ca_topic_score_gemma":0.003965786,"domain_scores_codex":[0.9963658,0.0004599891,0.000362248,0.0008269153,0.000878848,0.001106215],"domain_scores_gemma":[0.9973801,0.0003535179,0.0002445368,0.0005859568,0.001117125,0.0003187386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006404674,0.002685485,0.2371934,0.0004201212,0.000794897,0.0004433859,0.02352059,0.007498061,0.01321593,0.6259423,0.00967305,0.0779723],"study_design_scores_gemma":[0.003947109,0.001765284,0.7188274,0.002116684,0.0002252268,0.00001715098,0.07170146,0.04164553,0.005352195,0.1274195,0.02481105,0.002171393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700104,0.000615862,0.08143488,0.001195207,0.0003252065,0.0005710554,0.0003010404,0.00005787147,0.0454885],"genre_scores_gemma":[0.9906191,0.000287224,0.005651371,0.000005833949,0.0004325558,8.66694e-7,0.0001349672,0.00003389753,0.002834246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4985228,"threshold_uncertainty_score":0.999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04239859820651753,"score_gpt":0.291340655922356,"score_spread":0.2489420577158385,"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."}}