{"id":"W4401116742","doi":"10.17118/11143/21787","title":"Elvira Assenza, Fabio Rossi, Fabio Ruggiano (2023), Manuale di linguistica italiana, Milano, Pearson, 400 p. [ISBN: 978-88-91-93201-3]","year":2023,"lang":"it","type":"article","venue":"Circula","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Art","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001257186,0.001040452,0.001156158,0.000458673,0.001366785,0.001294525,0.002191127,0.0006126472,0.001472129],"category_scores_gemma":[0.002396185,0.001080138,0.0006622135,0.002295228,0.0005307118,0.0002827653,0.001586455,0.0008327509,0.009835233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816235,"about_ca_system_score_gemma":0.0004021154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300802,"about_ca_topic_score_gemma":0.00006724244,"domain_scores_codex":[0.9923308,0.0003451029,0.001309486,0.002272046,0.001486187,0.002256405],"domain_scores_gemma":[0.9948014,0.0006352512,0.0005505908,0.002508429,0.0008111557,0.0006931449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001203733,0.001161268,0.009992901,0.001563824,0.001561421,0.01244304,0.02550892,0.0004769452,0.002650212,0.04678714,0.852128,0.04560592],"study_design_scores_gemma":[0.003286436,0.0007412194,0.0839324,0.001407658,0.0007636204,0.0002920872,0.00538907,0.06222514,0.0008154256,0.003850357,0.8330122,0.004284386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1445649,0.1342308,0.1327729,0.02855556,0.1255401,0.0096987,0.005696243,0.01099771,0.4079431],"genre_scores_gemma":[0.9401066,0.001033016,0.001949806,0.003054839,0.009752397,0.0001260889,0.0005066832,0.0002273784,0.0432432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7955417,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016453158790769,"score_gpt":0.2667591295099569,"score_spread":0.2465945979220492,"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."}}