{"id":"W4412474964","doi":"10.1177/02676583251339901","title":"Such sweet thunder","year":2025,"lang":"en","type":"article","venue":"Second language Research","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Linguistics; Restructuring; Phonology; Rule-based machine translation; Theoretical linguistics; Natural (archaeology); Phonetics; Hierarchy; Mental representation; Computer science; Variation (astronomy); Psychology; Cognition; Philosophy; 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":[0.002548394,0.000702062,0.0005215871,0.0006681055,0.007304399,0.005595722,0.001268695,0.005968083,0.08358224],"category_scores_gemma":[0.01031176,0.0002418405,0.0005350362,0.0005347303,0.005332921,0.009560795,0.004812506,0.01349757,0.02829511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546963,"about_ca_system_score_gemma":0.001190633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728841,"about_ca_topic_score_gemma":0.006620857,"domain_scores_codex":[0.998504,0.0005185916,0.0000619608,0.0002481533,0.0003920393,0.0002750767],"domain_scores_gemma":[0.9976007,0.0008189768,0.0001260194,0.0003946027,0.0006714966,0.0003881883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003723622,0.00001316087,0.0001772349,0.00005505614,0.000007021009,0.0002690972,0.001785847,0.00002882275,0.0001950439,0.1608527,0.8165642,0.02001466],"study_design_scores_gemma":[0.000003169106,0.000008176504,0.0001189004,0.00006641338,0.000001987224,0.0001246155,0.001577677,0.0000291019,0.00009640199,0.009863203,0.9881017,0.000008688616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002795727,0.007006005,0.003974752,0.6239085,0.1007641,0.00005399868,0.0003067226,0.0005339045,0.2606563],"genre_scores_gemma":[0.05814976,0.004332826,0.002267564,0.4324892,0.02204119,0.0000838428,0.0002504629,0.0007097696,0.4796754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08358224,"threshold_uncertainty_score":0.2796105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06980783914374228,"score_gpt":0.4824396888164842,"score_spread":0.4126318496727419,"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."}}