{"id":"W7135275051","doi":"","title":"AM/P~OM/P Merger in Hong Kong vs. Toronto Cantonese: An Under-documented Homeland Sound Change in a Heritage Language Context","year":2024,"lang":"","type":"report","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homeland; Context (archaeology); Variation (astronomy); Heritage language; Sound change; Language change","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":[0.0006329242,0.0003843716,0.0002832586,0.0006475559,0.002860667,0.001519699,0.0003979702,0.0002364296,0.002096613],"category_scores_gemma":[0.001053953,0.0002323197,0.0001876988,0.001899076,0.002238386,0.0004649792,0.001298893,0.0004575959,0.0001904469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008051847,"about_ca_system_score_gemma":0.004370122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8246463,"about_ca_topic_score_gemma":0.9360514,"domain_scores_codex":[0.9994734,0.0001100295,0.00003223376,0.00009584151,0.000127293,0.0001612492],"domain_scores_gemma":[0.9988884,0.0002108738,0.0002186517,0.00007716322,0.0003358329,0.0002691828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007470766,0.00008227414,0.5939196,0.0001885029,0.0001155011,0.005307635,0.34633,0.0002162675,0.01864528,0.001428608,0.002255339,0.03076384],"study_design_scores_gemma":[0.000005872471,0.00004975783,0.8675109,0.00002636353,0.00002729863,0.0002165056,0.1287698,0.0001184015,0.0005899699,0.00002863823,0.002635418,0.00002108308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980165,0.00007791781,0.00002980019,0.00005429376,0.000004812356,0.000004272556,0.00006970015,0.000001197535,0.001741662],"genre_scores_gemma":[0.9987835,0.00008713877,0.00004978151,0.00002237476,0.000002879233,0.000004994773,0.00009945299,0.000003183345,0.0009467976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1753537,"threshold_uncertainty_score":0.3527728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04732145305576849,"score_gpt":0.3088816267322556,"score_spread":0.261560173676487,"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."}}