{"id":"W2908005395","doi":"10.1111/infa.12279","title":"The Use of Pitch Accent in Word–Object Association by Monolingual Japanese Infants","year":2018,"lang":"en","type":"article","venue":"Infancy","topic":"Language Development and Disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Curtin University of Technology","keywords":"Psychology; Pitch accent; Nonsense; Association (psychology); Contrast (vision); Stress (linguistics); Context (archaeology); Object (grammar); Task (project management); Word (group theory); Word learning; Word Association; Communication; Linguistics; Audiology; Speech recognition; Artificial intelligence; Prosody; Computer science; Vocabulary; History; Medicine","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":[0.0002971664,0.0002390027,0.0002222754,0.0002927238,0.0001773842,0.0003476834,0.0001814785,0.0002188996,0.001047145],"category_scores_gemma":[0.001149929,0.0002601552,0.0001160937,0.00009372766,0.0003146209,0.0003062568,0.0004453687,0.00028062,0.0003121721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009377076,"about_ca_system_score_gemma":0.0001635849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038508,"about_ca_topic_score_gemma":0.001533034,"domain_scores_codex":[0.9998409,0.00002300125,0.0000198955,0.00004555924,0.00004002653,0.00003061148],"domain_scores_gemma":[0.9993773,0.0001661115,0.0001821151,0.00005362361,0.0001012308,0.0001195922],"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":[0.00030315,0.0001123982,0.1010394,0.00008946145,0.00001686525,0.00162065,0.004335572,0.00004267814,0.8744879,0.0001105705,0.00006238522,0.01777897],"study_design_scores_gemma":[0.00001440381,0.0009187173,0.8938045,0.00002262181,0.00006836351,0.00367389,0.003145662,0.00035701,0.0968696,0.0001442657,0.0009512388,0.00002978275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995041,0.00005060329,0.0001409984,0.000003921868,0.00000112957,0.000001706378,0.00001055356,0.000005080834,0.0002818681],"genre_scores_gemma":[0.9984477,0.0001627303,0.0006562503,0.0000120176,0.00000192737,0.000008296921,0.00004479494,0.000008665314,0.0006576327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001047145,"threshold_uncertainty_score":0.003503025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428396690302419,"score_gpt":0.3147466875281224,"score_spread":0.2904627206250982,"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."}}