{"id":"W2469160629","doi":"10.3765/amp.v3i0.3674","title":"What Matters in Artificial Learning, Sonority Hierarchy or Natural Classes?","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Annual Meetings on Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Sonority hierarchy; Vowel; Hierarchy; Generalization; Phonotactics; Natural (archaeology); Grammar; Linguistics; Phonology; Vowel harmony; Class (philosophy); Psychology; Computer science; Artificial intelligence; Natural language processing; Speech recognition; Mathematics; History","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002021158,0.000318434,0.000504479,0.0004122492,0.0006800963,0.002425641,0.001134905,0.001121844,0.007940011],"category_scores_gemma":[0.01340816,0.0002746047,0.0004541496,0.0005251847,0.006190158,0.01207059,0.001252439,0.001694064,0.0007412615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006099382,"about_ca_system_score_gemma":0.0005146298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012418,"about_ca_topic_score_gemma":0.001187863,"domain_scores_codex":[0.9985183,0.0003915513,0.0000650975,0.0006210334,0.000303397,0.0001005883],"domain_scores_gemma":[0.9920874,0.004465453,0.001248081,0.001156169,0.0003927085,0.0006501559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001316057,0.0006787445,0.1604618,0.001634382,0.0003897203,0.0006378452,0.009924727,0.004320376,0.03833757,0.428186,0.006682881,0.3474298],"study_design_scores_gemma":[0.00009627607,0.0008417979,0.1507495,0.0001575269,0.0001208729,0.0007531983,0.003777581,0.009565853,0.007156124,0.8098257,0.01682758,0.0001280941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948267,0.002397338,0.04330884,0.01471109,0.0003347318,0.00006147008,0.0002504295,0.0002914963,0.04381795],"genre_scores_gemma":[0.9875674,0.000400778,0.008740012,0.0009738065,0.0001199262,0.00002514204,0.00009917284,0.00008434448,0.001989318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007940011,"threshold_uncertainty_score":0.02656204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372137730316573,"score_gpt":0.3195428586577984,"score_spread":0.2958214813546327,"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."}}