{"id":"W2182359362","doi":"","title":"Modelling exemplar-based phonologisation","year":2008,"lang":"en","type":"article","venue":"","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0009673979,0.0005037538,0.0006226141,0.0007918721,0.000418103,0.002205307,0.00181079,0.002359668,0.006780324],"category_scores_gemma":[0.006856868,0.0007724538,0.001089776,0.0007712509,0.0009655061,0.002372962,0.001382997,0.002171157,0.001926402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035283,"about_ca_system_score_gemma":0.0005882212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390992,"about_ca_topic_score_gemma":0.005816135,"domain_scores_codex":[0.9995095,0.0001569979,0.00002288487,0.0001370405,0.0001082744,0.00006526274],"domain_scores_gemma":[0.9979815,0.001243096,0.00009084999,0.0003255559,0.0002794779,0.00007942583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002696139,0.000112412,0.00414396,0.0002049144,0.0001611001,0.0008325573,0.0007227852,0.81516,0.01753469,0.07994901,0.001993188,0.07891576],"study_design_scores_gemma":[0.000006960108,0.00001297468,0.0003717235,0.000007742954,0.00001411316,0.00007293432,0.00003648377,0.9824191,0.001063562,0.01521448,0.0007686638,0.00001120835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2033279,0.0004168692,0.7798462,0.0004754291,0.0002677153,0.00008307769,0.0006557081,0.001758955,0.01316811],"genre_scores_gemma":[0.9196761,0.0001966946,0.07496089,0.00005929459,0.00003321469,0.00005717514,0.0006370363,0.0002912324,0.004088248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006780324,"threshold_uncertainty_score":0.02268243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1785790089840652,"score_gpt":0.357789270664655,"score_spread":0.1792102616805899,"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."}}