{"id":"W2260376627","doi":"10.1017/s0954394510000062","title":"Boston (r): Neighbo(r)s nea(r) and fa(r)","year":2010,"lang":"en","type":"article","venue":"Language Variation and Change","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnic group; Linguistics; Sociology; Psychology; Geography; History; Demography; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572034,0.00006269442,0.00008067075,0.00005501899,0.0002415978,0.00006837743,0.00005237057,0.0001221044,0.0008827549],"category_scores_gemma":[0.0003797146,0.00005957753,0.00001345767,0.0000898808,0.00007604621,0.00009612095,0.00002659883,0.0001102204,0.00002105222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008314416,"about_ca_system_score_gemma":0.00002380156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072532,"about_ca_topic_score_gemma":0.00842974,"domain_scores_codex":[0.9994388,0.00006175178,0.00008799204,0.0001500462,0.0001096724,0.0001517895],"domain_scores_gemma":[0.9996411,0.00006789684,0.00005343362,0.00008707684,0.00004223199,0.0001082991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000008987516,0.00003371974,0.003254869,0.00001004366,0.00001062711,0.00001188595,0.6984388,1.86019e-8,0.005897469,0.2650236,0.0002557247,0.02705429],"study_design_scores_gemma":[0.001305716,0.00006737692,0.7778996,0.00001091903,0.000053105,0.00001695285,0.01107787,0.0004139551,0.0001675313,0.004641109,0.2039432,0.0004027217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566576,0.0003595281,0.0008057815,0.009149848,0.002271383,0.0004170868,0.00002299065,0.0001975199,0.03011825],"genre_scores_gemma":[0.9945787,0.00009670804,0.0006929596,0.00198276,0.001130698,0.00001671043,0.00001250316,0.000006513052,0.00148251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746447,"threshold_uncertainty_score":0.9958624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227212140639803,"score_gpt":0.306671009563955,"score_spread":0.2839497954999747,"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."}}