{"id":"W6990440761","doi":"","title":"Dialect Identification Across a Nation-State Border: Perception of Dialectal Variants in Seattle, WA and Vancouver, BC","year":2018,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Nasalization; Raising (metalworking); Circumstantial evidence; Task (project management); Population","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":[0.0003885864,0.0003103808,0.0002818244,0.0008275901,0.002552165,0.00266058,0.0003774806,0.000452698,0.001494568],"category_scores_gemma":[0.002066775,0.0002270271,0.0001388365,0.0007447422,0.0008938242,0.00048683,0.001451063,0.0007167612,0.0003380963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633483,"about_ca_system_score_gemma":0.001096425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.638702,"about_ca_topic_score_gemma":0.8458238,"domain_scores_codex":[0.9996877,0.0000707417,0.00001885486,0.00007546613,0.00008419144,0.0000631689],"domain_scores_gemma":[0.9987769,0.0002521449,0.0001363966,0.00004857915,0.0005337719,0.0002521478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001211308,0.0002259639,0.5613531,0.000148471,0.00009721165,0.001401516,0.3355988,0.0001289857,0.05791486,0.0004135833,0.001970815,0.03953542],"study_design_scores_gemma":[0.00001241531,0.00008631883,0.7562022,0.00005984476,0.00002792227,0.0002462515,0.2394536,0.0003319858,0.001029995,0.0001415282,0.002371031,0.00003687263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980094,0.00003972491,0.00005777472,0.00002781048,0.000004216217,0.000006386378,0.00004357759,0.000002407927,0.001808782],"genre_scores_gemma":[0.9983125,0.00006896652,0.0001474391,0.00005499335,0.00000155672,0.00001305442,0.0001037023,0.000005809816,0.001292123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.361298,"threshold_uncertainty_score":0.7268516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959253455730732,"score_gpt":0.2979848120348714,"score_spread":0.2783922774775641,"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."}}