{"id":"W4379465888","doi":"10.33137/ic.v1i1.41226","title":"Litalianistica e l'emigrazione italiana a Toronto (1853-1984)","year":2023,"lang":"it","type":"article","venue":"Italian Canadiana","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166969,0.0004282199,0.0002195996,0.001527607,0.004601292,0.002457482,0.000429577,0.0005420085,0.01630878],"category_scores_gemma":[0.001421818,0.0002341077,0.0001397309,0.004456596,0.004038285,0.0007751538,0.001560441,0.001379328,0.001158179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03992499,"about_ca_system_score_gemma":0.02177104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9339575,"about_ca_topic_score_gemma":0.9811884,"domain_scores_codex":[0.9994699,0.00007937817,0.00001803138,0.00007627648,0.0001066076,0.0002498554],"domain_scores_gemma":[0.9992352,0.0001176652,0.0001765709,0.00004600496,0.0001890361,0.0002356648],"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":[0.0002303466,0.00004993739,0.03979401,0.0009171964,0.00004568332,0.002079641,0.2536545,0.0004434627,0.001217743,0.3559789,0.2077186,0.13787],"study_design_scores_gemma":[0.000007544689,0.0000237159,0.2108903,0.0001759757,0.00001946104,0.0002065647,0.0121439,0.00005994366,0.0002321864,0.0008964745,0.7753249,0.00001899754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2839316,0.03486357,0.0007778857,0.03526626,0.0007948551,0.00008578708,0.005571485,0.0001413872,0.6385671],"genre_scores_gemma":[0.8114988,0.009449762,0.0005195595,0.0006062934,0.0002188424,0.00003410997,0.0007898196,0.00006006038,0.1768228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06604254,"threshold_uncertainty_score":0.2896774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590540064973798,"score_gpt":0.2571304066247257,"score_spread":0.2412250059749877,"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."}}