{"id":"W2505877386","doi":"10.3765/exabs.v0i0.782","title":"Japanese Accent Shift: Generalizing from Ambiguous Input","year":2013,"lang":"en","type":"article","venue":"LSA Annual Meeting Extended Abstracts","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stress (linguistics); Linguistics; Psychology; Philosophy","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":[0.0008019613,0.001069974,0.0005799516,0.0004412317,0.0004580255,0.00139443,0.0004313397,0.0006532376,0.006095332],"category_scores_gemma":[0.006973586,0.0004304567,0.0008921514,0.0004515959,0.0007026437,0.001916773,0.001713703,0.001617952,0.001238745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003748453,"about_ca_system_score_gemma":0.00045995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005840199,"about_ca_topic_score_gemma":0.003802875,"domain_scores_codex":[0.999286,0.00009985294,0.00004083421,0.0003323189,0.0001312799,0.0001097457],"domain_scores_gemma":[0.9977797,0.0008304737,0.0001247036,0.0006576994,0.000448635,0.0001588813],"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":[0.002772922,0.0002956939,0.03253749,0.0004521763,0.0003001682,0.001299744,0.003937191,0.00718698,0.7545464,0.002335699,0.003417781,0.1909177],"study_design_scores_gemma":[0.0001729399,0.001029219,0.7796977,0.0001404432,0.0009538853,0.00219745,0.005287113,0.05274292,0.1356885,0.01496445,0.006904905,0.0002203921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442918,0.0003806428,0.0262827,0.0001987015,0.0002037541,0.0001478273,0.0006275033,0.0009293943,0.02693763],"genre_scores_gemma":[0.9913326,0.0002358883,0.004215256,0.000176175,0.00005157247,0.00004327516,0.0009315491,0.000382935,0.002630832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006095332,"threshold_uncertainty_score":0.02039087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696405143453312,"score_gpt":0.3163409775547582,"score_spread":0.289376926120225,"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."}}