{"id":"W7015994690","doi":"","title":"Vittorio Alfieri, Saul, a cura di Laura Peja, Torino, ETS, 2019.","year":2019,"lang":"it","type":"article","venue":"Florence Research (University of Florence)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Quarter (Canadian coin); Work (physics)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002544607,0.0005073413,0.0007547961,0.0006212089,0.0005678743,0.0001668308,0.002984939,0.0009765121,0.002949666],"category_scores_gemma":[0.0006785009,0.0005445131,0.0004374309,0.0012344,0.002631082,0.00009170529,0.002385379,0.001439118,0.002094208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332188,"about_ca_system_score_gemma":0.002015457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453354,"about_ca_topic_score_gemma":0.0002565782,"domain_scores_codex":[0.9927533,0.0005208117,0.0005959075,0.00118141,0.002891409,0.002057191],"domain_scores_gemma":[0.9948156,0.0002430703,0.0002922957,0.001674956,0.001832804,0.001141269],"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":[0.003162724,0.002073959,0.04259245,0.003348276,0.001435557,0.00035306,0.00942176,0.0001203778,0.391434,0.00332863,0.3054894,0.2372399],"study_design_scores_gemma":[0.00683612,0.01173486,0.07130708,0.001543185,0.0001746145,0.00005308953,0.03280238,0.008882917,0.03946405,0.0009676516,0.8234693,0.002764738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534565,0.004056363,0.002000563,0.003384564,0.002352104,0.002011713,0.0008408478,0.00004841541,0.03184889],"genre_scores_gemma":[0.9484778,0.02712733,0.001424099,0.0000481887,0.0006976065,0.000002749571,0.00055595,0.00004140878,0.02162488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.51798,"threshold_uncertainty_score":0.9997007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912797600108516,"score_gpt":0.2906390688279045,"score_spread":0.2615110928268193,"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."}}