{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797371,0.00009785225,0.0001271761,0.00006591702,0.00006356886,0.0000347258,0.0001740375,0.000115961,0.0004839936],"category_scores_gemma":[0.000425288,0.00007363836,0.00003435466,0.0002712394,0.00004265545,0.0001136468,0.00004335647,0.0001136523,0.0001985873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004308422,"about_ca_system_score_gemma":0.00003559179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321911,"about_ca_topic_score_gemma":0.001203009,"domain_scores_codex":[0.9989737,0.00009084569,0.0002984174,0.0001641996,0.0001774993,0.0002953711],"domain_scores_gemma":[0.9992258,0.0002594107,0.000173487,0.0002507041,0.00006202867,0.00002857802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002383183,0.0001744101,0.790748,0.000004454225,0.00010595,0.000007010254,0.06089945,8.391307e-7,0.0003053486,0.0001518044,0.06523141,0.08213301],"study_design_scores_gemma":[0.001666815,0.00006425071,0.8987599,0.00002712024,0.00001270058,0.000001462401,0.0025865,0.0000188963,0.0008354125,0.0002113328,0.0955719,0.0002437246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880588,0.0004143411,0.000004755166,0.0002034564,0.000701513,0.0001810207,0.00001041426,0.000027688,0.01039803],"genre_scores_gemma":[0.9948701,0.00004698501,0.00004776919,0.0003153679,0.0000772342,0.00002461273,0.00001211627,0.00001235182,0.004593423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080119,"threshold_uncertainty_score":0.5299391,"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."}}