{"id":"W2095922715","doi":"10.1080/01690965.2013.813562","title":"Stress consistency and stress regularity effects in Russian","year":2013,"lang":"en","type":"article","venue":"Language Cognition and Neuroscience","topic":"Reading and Literacy Development","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stress (linguistics); Consistency (knowledge bases); Syllable; Noun; Linguistics; Lexical decision task; Natural language processing; Psychology; Word (group theory); Spelling; Computer science; Artificial intelligence; Cognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008105997,0.0002851474,0.0004459781,0.0008080324,0.0003656217,0.0009451503,0.0001601491,0.0002046175,0.001370625],"category_scores_gemma":[0.005842564,0.0002763813,0.0002544461,0.0004442974,0.0006544973,0.0006465242,0.0008716834,0.000293005,0.0001985051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849331,"about_ca_system_score_gemma":0.0001462728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009917615,"about_ca_topic_score_gemma":0.001405295,"domain_scores_codex":[0.9993547,0.0001893344,0.0000953447,0.0001715892,0.0001459256,0.00004316815],"domain_scores_gemma":[0.9947078,0.003331826,0.001062984,0.0004289327,0.00029402,0.0001744395],"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":[0.003291891,0.0002632363,0.2561539,0.0003594591,0.0002981302,0.001171623,0.01178425,0.0005170857,0.6943815,0.0007801084,0.0001111951,0.03088763],"study_design_scores_gemma":[0.00001685417,0.0002956213,0.9864656,0.000008071619,0.00005774859,0.0003916707,0.0005692357,0.0002915632,0.01120238,0.0003639821,0.0003177866,0.00001944427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991589,0.00007463759,0.0001914421,0.000006554464,0.00000276938,0.000004381874,0.00003493973,0.000005174732,0.0005212037],"genre_scores_gemma":[0.9993497,0.00007016203,0.0002448746,0.000008705926,0.000005971177,0.000008121031,0.0001092247,0.00001824156,0.0001851872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370625,"threshold_uncertainty_score":0.004585266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361796272382181,"score_gpt":0.28616604046997,"score_spread":0.2725480777461481,"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."}}