{"id":"W28130301","doi":"10.1128/aem.03172-16","title":"Favoleggiando. Fiabe e leggende bresciane fra letteratura, storia e folklore","year":2006,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; NIH Office of the Director; Government of Canada","keywords":"Folklore; Art; Humanities; Literature","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005717415,0.0001616607,0.0001703328,0.00003121044,0.0001847143,0.00003965944,0.0002034646,0.00009212606,0.00006500212],"category_scores_gemma":[0.000002079282,0.0001395069,0.00003469401,0.00004456034,0.0001246471,0.00004180885,0.0002568145,0.0001004191,0.0000619948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004109893,"about_ca_system_score_gemma":0.000003665252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006465775,"about_ca_topic_score_gemma":0.000005527762,"domain_scores_codex":[0.9991,0.00001761778,0.0001570915,0.0003936844,0.00004221336,0.0002893481],"domain_scores_gemma":[0.9996502,0.00003640145,0.00005324673,0.0002209611,0.000002983499,0.00003621953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001423504,0.00009567397,0.0008400154,0.00001059576,0.00003969108,0.00004852409,0.0005584939,0.0000162294,0.9525464,0.01976999,0.01819642,0.007863796],"study_design_scores_gemma":[0.007336576,0.0005406901,0.06769531,0.00004111031,0.0001193192,0.000811099,0.001608248,0.0005901637,0.08730986,0.01187498,0.8194212,0.0026515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488088,0.007590559,0.02868576,0.001590062,0.001815087,0.0005354273,0.0001557443,0.0002198108,0.01059869],"genre_scores_gemma":[0.9942307,0.00004192134,0.002552557,0.002314308,0.0004504976,0.00001392566,0.0001482741,0.000008364483,0.0002394011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8652365,"threshold_uncertainty_score":0.5688928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001584586623083603,"score_gpt":0.1439950210326854,"score_spread":0.1424104344096018,"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."}}