{"id":"W2537823737","doi":"","title":"Language contact as an inhibitor of sound change","year":2013,"lang":"en","type":"article","venue":"","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sound change; Phonology; Linguistics; Focus (optics); Language shift; Variety (cybernetics); Blocking (statistics); Language contact; History; Geography; Computer science; Philosophy; Artificial intelligence","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":[0.0007782843,0.0002303327,0.0003044292,0.0008822856,0.001678341,0.002120649,0.000531923,0.0006928642,0.01085712],"category_scores_gemma":[0.004698562,0.0003668761,0.0002119385,0.00047011,0.003096575,0.001845346,0.002536372,0.0009860477,0.001135636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151797,"about_ca_system_score_gemma":0.0009351323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886495,"about_ca_topic_score_gemma":0.003618646,"domain_scores_codex":[0.9987848,0.000269467,0.00005582726,0.0003677089,0.0003072638,0.0002147921],"domain_scores_gemma":[0.9971346,0.001245203,0.0005365685,0.0003604337,0.0004045448,0.0003187426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001179013,0.0004048944,0.1556062,0.0004773124,0.00007352293,0.005253552,0.06380549,0.001557412,0.4612005,0.2037781,0.002262817,0.104401],"study_design_scores_gemma":[0.0001569759,0.001617396,0.7361132,0.0001517564,0.0001444057,0.005487644,0.0371094,0.007121241,0.07895955,0.05097788,0.08201148,0.0001491087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137844,0.0004834232,0.004379245,0.000555296,0.00004650935,0.00002971298,0.00004802298,0.0001735115,0.08049986],"genre_scores_gemma":[0.9970775,0.00005156594,0.000458962,0.00004413125,0.00001252507,0.000006297774,0.00001809137,0.00002846859,0.002302439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085712,"threshold_uncertainty_score":0.03632075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345187072462652,"score_gpt":0.3463653552641066,"score_spread":0.30291348453948,"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."}}