{"id":"W4400485053","doi":"10.1215/00031283-11466458","title":"Production of Prevelar /æ/-Raising in Colorado and Ontario","year":2024,"lang":"en","type":"article","venue":"Publication of the American Dialect Society","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Manitoba","funders":"","keywords":"Raising (metalworking); Production (economics); Environmental science; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0005012402,0.0002297813,0.0002927461,0.0008267199,0.00346238,0.001039783,0.0004681723,0.0003137322,0.003682877],"category_scores_gemma":[0.001876156,0.0002499645,0.0001206323,0.001385211,0.001271957,0.000251442,0.0009899697,0.0002752101,0.0003166856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009400736,"about_ca_system_score_gemma":0.007901694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9501633,"about_ca_topic_score_gemma":0.9894832,"domain_scores_codex":[0.9993165,0.00008654153,0.00002331256,0.0001721381,0.0001750299,0.0002265775],"domain_scores_gemma":[0.9978858,0.0003259234,0.0003775852,0.00009925268,0.001000545,0.000310955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000694575,0.000118538,0.7497836,0.000103618,0.00005452538,0.001434691,0.1762108,0.0001099495,0.04159832,0.000974913,0.002265816,0.02665056],"study_design_scores_gemma":[0.000005119276,0.00002527591,0.9557873,0.00002069022,0.00001274848,0.0001587577,0.04003768,0.00006287789,0.000719935,0.00005138854,0.003101013,0.00001725975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947932,0.00004251086,0.00005962338,0.00005567844,0.000003754592,0.000009868044,0.0002239429,0.000003920792,0.004807485],"genre_scores_gemma":[0.9973136,0.00004780208,0.0001361866,0.00002546108,0.000001630278,0.00001379999,0.0001606588,0.000009910439,0.002290897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0498367,"threshold_uncertainty_score":0.1002603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237439678433831,"score_gpt":0.3110607669035126,"score_spread":0.2873167990601295,"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."}}