{"id":"W4399982197","doi":"10.1007/s10936-024-10085-6","title":"Masked Translation Priming Effects for Chinese-English-Japanese Triple Cognates in Lexical Decision Tasks","year":2024,"lang":"en","type":"article","venue":"Journal of Psycholinguistic Research","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"China Scholarship Council","keywords":"Psycholinguistics; Lexical decision task; Priming (agriculture); Linguistics; Natural language processing; Computer science; Translation (biology); Psychology; Artificial intelligence; Cognition; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220256,0.0009845509,0.0008058605,0.0002574405,0.0003883837,0.001076849,0.0005819408,0.0009320164,0.01076121],"category_scores_gemma":[0.01134998,0.0005888949,0.0003280359,0.0002748231,0.0007201192,0.001796412,0.0009830812,0.001513034,0.001176495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546625,"about_ca_system_score_gemma":0.0008861041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219333,"about_ca_topic_score_gemma":0.001591658,"domain_scores_codex":[0.9991591,0.0001412095,0.0000838402,0.0003302198,0.0001743846,0.0001113026],"domain_scores_gemma":[0.9944209,0.003922672,0.0005794879,0.0003036961,0.0003004647,0.0004727022],"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":[0.02097411,0.0007794652,0.00203964,0.0003781671,0.00003940819,0.0003597545,0.001536797,0.0001880345,0.9613568,0.00217367,0.0004033348,0.009770822],"study_design_scores_gemma":[0.006294077,0.01235717,0.3164272,0.0002051124,0.001060885,0.003301594,0.001846101,0.01020051,0.6223627,0.02003478,0.005573436,0.0003363453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922078,0.0001321591,0.001517023,0.0001032052,0.0001824418,0.00008073625,0.0001669442,0.00005884907,0.005550878],"genre_scores_gemma":[0.9933423,0.0001175722,0.002876309,0.0002210551,0.00009673469,0.0001796194,0.0001975621,0.0001499323,0.002818928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076121,"threshold_uncertainty_score":0.03599983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224377510304291,"score_gpt":0.4845866860750197,"score_spread":0.3621489350445906,"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."}}