{"id":"W2809137360","doi":"10.1215/00031283-6926135","title":"New York City English in Film","year":2018,"lang":"en","type":"article","venue":"American Speech","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"History; Icon; Citation; Linguistics; Library science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003096138,0.00004786954,0.0001081114,0.00005096891,0.0000994018,0.00002217689,0.0001660206,0.00003591881,0.002837762],"category_scores_gemma":[0.001424485,0.0000497963,0.00002114526,0.0004747818,0.0003786128,0.00002539691,0.00002280818,0.00007495009,0.0002041777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005852851,"about_ca_system_score_gemma":0.0002501107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08021718,"about_ca_topic_score_gemma":0.02129985,"domain_scores_codex":[0.9992806,0.00009365041,0.0001065071,0.0001501158,0.0001449875,0.0002241693],"domain_scores_gemma":[0.9995404,0.00008352295,0.00006252152,0.0001188215,0.00008848177,0.0001062592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005418191,0.0001071379,0.1563604,0.00000162132,0.00001974131,0.00003992746,0.1355982,0.00000103254,0.000104539,0.146145,0.2894058,0.2721625],"study_design_scores_gemma":[0.0001910569,0.00008325411,0.01995907,0.000003105166,0.000003582644,5.367401e-7,0.005956441,0.000006684214,0.0001210057,0.002045161,0.971525,0.0001050938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1640815,0.00001049199,0.0007755121,0.001662927,0.001478093,0.000110881,0.000002664253,0.0001130022,0.8317649],"genre_scores_gemma":[0.9802143,0.000006776815,0.007989986,0.001480122,0.002204596,0.000001877683,0.000001632813,0.000004812511,0.008095902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8236691,"threshold_uncertainty_score":0.9980738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829758963500316,"score_gpt":0.3210368167598412,"score_spread":0.292739227124838,"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."}}