{"id":"W6988144324","doi":"","title":"WS 16: Italian heritage language communities: Phonological change in Heritage Italian spoken in Toronto: Social factors and lexical frequency","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heritage language; Linguistic change; Nasalization; Phonology; Social life","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005378528,0.0006987373,0.0003145822,0.001139447,0.001460013,0.001166403,0.0006058577,0.0004590282,0.01873597],"category_scores_gemma":[0.002005172,0.0002234381,0.000253539,0.002622881,0.0005426288,0.0005791023,0.001386686,0.0004006315,0.002745695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589776,"about_ca_system_score_gemma":0.003092953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8347633,"about_ca_topic_score_gemma":0.8809423,"domain_scores_codex":[0.9997435,0.00003431587,0.00001958843,0.00005539989,0.0000482477,0.00009892519],"domain_scores_gemma":[0.9984419,0.0001970165,0.000267361,0.000174493,0.0003547441,0.0005645972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002267559,0.0003672319,0.7388906,0.000517374,0.0001936779,0.004596065,0.09375551,0.000785824,0.01046061,0.001760575,0.09975954,0.04664535],"study_design_scores_gemma":[0.00002127547,0.00004861159,0.9835465,0.00002954528,0.00003143956,0.0001373222,0.00986625,0.00009169785,0.0004444881,0.00004959169,0.005720108,0.00001320264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601032,0.0001276143,0.0001903989,0.0005836173,0.00003487429,0.0001068324,0.02289698,0.00007930045,0.0158772],"genre_scores_gemma":[0.9483207,0.0001356287,0.0003758226,0.00006792729,0.00004208885,0.0001550385,0.02284676,0.0001104202,0.02794563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652367,"threshold_uncertainty_score":0.3324195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705517643833115,"score_gpt":0.3046312491946265,"score_spread":0.2675760727562953,"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."}}