{"id":"W7117160398","doi":"10.15168/2385-216x/3365","title":"Rosmini lessicografo","year":2025,"lang":"it","type":"article","venue":"Università degli Studi di Trento","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lingua franca; Order (exchange); Lexicographical order; Interrogative; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002054518,0.0004115859,0.0004836893,0.0003674383,0.0008922162,0.0002503988,0.001014606,0.0001468597,0.0002259681],"category_scores_gemma":[0.0001301214,0.0004219353,0.0002691426,0.001416388,0.0001864659,0.0002255738,0.001267201,0.0002366198,0.0001477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480777,"about_ca_system_score_gemma":0.0001780363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003693599,"about_ca_topic_score_gemma":0.00009186866,"domain_scores_codex":[0.9975191,0.0001541438,0.000342035,0.0008888745,0.0004112401,0.0006845728],"domain_scores_gemma":[0.9982851,0.0002302023,0.0001736988,0.0008324831,0.0003253366,0.0001531843],"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":[0.0001226059,0.00139005,0.02701754,0.0002498665,0.002169324,0.001334424,0.02045295,0.0001440941,0.00004923959,0.6131912,0.2354491,0.09842969],"study_design_scores_gemma":[0.006192508,0.0005161451,0.04439172,0.0008982165,0.00134953,0.00001339683,0.03069713,0.005271271,0.0003511828,0.001968432,0.9067596,0.001590875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02646834,0.02823578,0.1904468,0.006360487,0.01563147,0.001032057,0.00009326685,0.0005634718,0.7311683],"genre_scores_gemma":[0.9179167,0.0006220931,0.001288877,0.001682061,0.0003671063,0.000006360087,0.00001666577,0.00002059984,0.0780796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8914483,"threshold_uncertainty_score":0.9998233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137377499697462,"score_gpt":0.2490427629307368,"score_spread":0.2376689879337622,"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."}}