{"id":"W7131398630","doi":"10.33137/ic.v39i1.46567","title":"Modelli di repertorio delle varietà italoromanze all’estero e nell’emigrazione di ritorno","year":2025,"lang":"it","type":"article","venue":"Italian Canadiana","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lingua franca","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002078995,0.0009966803,0.0007269311,0.002519317,0.001197042,0.00816018,0.001959561,0.001538423,0.03232686],"category_scores_gemma":[0.009955492,0.0008244672,0.00187335,0.003667538,0.0021092,0.00776288,0.002271799,0.001656047,0.00389211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551663,"about_ca_system_score_gemma":0.00198378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192343,"about_ca_topic_score_gemma":0.0228856,"domain_scores_codex":[0.9985738,0.0005250586,0.00007131626,0.0004638781,0.000215552,0.0001503839],"domain_scores_gemma":[0.9966642,0.001907495,0.0003179667,0.0005015962,0.0003999499,0.0002088246],"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":[0.0007271858,0.0004574757,0.1546617,0.0008935986,0.0005235515,0.001165941,0.03188055,0.05214585,0.00264168,0.5847387,0.02110787,0.1490559],"study_design_scores_gemma":[0.000188573,0.0002015778,0.08112829,0.0007131304,0.0004169494,0.001382472,0.01520424,0.366082,0.0008723464,0.4288432,0.104794,0.000173126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5047449,0.002846212,0.2765942,0.006945383,0.000193808,0.0005078693,0.005042947,0.00128211,0.2018425],"genre_scores_gemma":[0.9200583,0.0009647852,0.05231725,0.0002358702,0.00004650624,0.0003518306,0.002172906,0.0002568665,0.02359573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9807657,"threshold_uncertainty_score":0.1081441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321607498025584,"score_gpt":0.2424093272041134,"score_spread":0.2291932522238576,"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."}}