{"id":"W2913211630","doi":"","title":"“We are like bouillon”: Sociophonetic diversity among Haitians in Toronto","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Computer science; World Wide Web; Sociology; Anthropology","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":[0.0004239923,0.0002167655,0.000237148,0.0009322842,0.006050711,0.001862629,0.0006200224,0.000635505,0.003633405],"category_scores_gemma":[0.00148607,0.0002806928,0.0001970863,0.0022491,0.002117328,0.0009338612,0.002271808,0.0007426904,0.0002686116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038258,"about_ca_system_score_gemma":0.01272873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9519838,"about_ca_topic_score_gemma":0.9829906,"domain_scores_codex":[0.9994594,0.00009341598,0.00002473144,0.00006466189,0.0000706584,0.0002869881],"domain_scores_gemma":[0.9991143,0.00009692986,0.0001388218,0.00002888534,0.0002042355,0.0004167234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000098239,0.00003487839,0.6266848,0.00007272346,0.0000291241,0.0009086259,0.3610844,0.00005325984,0.001247045,0.0009606974,0.002273305,0.006552871],"study_design_scores_gemma":[0.000002920684,0.00002958858,0.5852862,0.00005109037,0.00001605764,0.0001695763,0.4114254,0.00006626306,0.0001102665,0.00006821024,0.002755063,0.00001946229],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975121,0.000117115,0.00002122286,0.0005731712,0.000009185169,0.000008091039,0.0001639168,0.000001349084,0.001593915],"genre_scores_gemma":[0.9983088,0.0001712528,0.00002769386,0.0001328334,0.000005166313,0.00001017476,0.00006408043,0.00000241176,0.001277664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04801619,"threshold_uncertainty_score":0.09659791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772792894772288,"score_gpt":0.2481433962385434,"score_spread":0.2304154672908205,"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."}}