{"id":"W4231700635","doi":"10.1121/1.4800523","title":"What you see is what you hear: How visual prosody affects artificial language learning in adults and children","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Multisensory perception and integration","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Iambic pentameter; Prosody; Syllable; Psychology; Perception; Linguistics; Stress (linguistics); Speech perception; Cognitive psychology; Computer science; Speech recognition","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003975535,0.0002866958,0.0003367044,0.0002743524,0.0001053571,0.0006145848,0.0001379655,0.000289269,0.0005630972],"category_scores_gemma":[0.0004622615,0.00027025,0.00005801925,0.0002396339,0.0001209236,0.001136711,0.00005473287,0.0005360742,0.0001347462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004885914,"about_ca_system_score_gemma":0.0000122689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272857,"about_ca_topic_score_gemma":0.000007739614,"domain_scores_codex":[0.9983164,0.00002949356,0.0003432235,0.0005488005,0.0003495569,0.0004124949],"domain_scores_gemma":[0.9990668,0.00007231381,0.0003249123,0.00008546057,0.00032192,0.0001285757],"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":[0.0006246179,0.0007410941,0.0522236,0.0003839124,0.00006684388,0.000004009823,0.08611258,0.00002022879,0.7006602,0.0003618252,0.01339491,0.1454061],"study_design_scores_gemma":[0.004472549,0.003359437,0.4650922,0.004250488,0.0001275026,0.00007529185,0.4439697,0.02187956,0.05472089,0.0001522907,0.0004297959,0.001470262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958372,0.000193431,0.00001060611,0.00154541,0.0003950054,0.0008434653,0.000005487623,0.0001199441,0.001049453],"genre_scores_gemma":[0.9960873,0.0003945028,0.0003080782,0.0005569371,0.0002975815,0.00006758414,0.00002066333,0.00005180244,0.002215619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459394,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280233381214956,"score_gpt":0.2906032796999159,"score_spread":0.2778009458877663,"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."}}