{"id":"W2507137411","doi":"","title":"Affricate Contrasts in Eastern Oromo","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Contrast (vision); Vowel; Duration (music); Voice; Linguistics; Sound change; Word (group theory); Wright; Psychology; Speech recognition; Computer science; Mathematics; Acoustics; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0002273581,0.0003114654,0.0002731692,0.0005016166,0.00090253,0.0007767905,0.000170477,0.0002031589,0.002566854],"category_scores_gemma":[0.000625324,0.0001387111,0.0001098988,0.0005791056,0.0005943159,0.0003332365,0.0008348615,0.000227841,0.0002546223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003374903,"about_ca_system_score_gemma":0.0002522606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006612833,"about_ca_topic_score_gemma":0.02539931,"domain_scores_codex":[0.9997948,0.00003585758,0.00002041759,0.00004256237,0.00003400676,0.00007241489],"domain_scores_gemma":[0.9997798,0.00005576033,0.00008080433,0.00001414699,0.00003839034,0.00003111032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001672686,0.0001920423,0.4466879,0.0006010968,0.00008886091,0.00552327,0.23604,0.0001523697,0.2404079,0.002378798,0.0004454782,0.06580959],"study_design_scores_gemma":[0.00001653347,0.0002997741,0.9031239,0.00005330626,0.00005225244,0.002219112,0.08264026,0.0001499982,0.004807458,0.0002791932,0.00632405,0.00003408949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975986,0.00005992172,0.00006361533,0.00001151738,0.000002399721,0.000004358394,0.00001852265,0.000001854131,0.002239169],"genre_scores_gemma":[0.9990601,0.00006808749,0.0001864698,0.00001693096,0.000002806564,0.000004886918,0.00003752396,0.00000381166,0.0006193347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006612833,"threshold_uncertainty_score":0.01314867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595240458506081,"score_gpt":0.3123756949435889,"score_spread":0.276423290358528,"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."}}