{"id":"W3206790300","doi":"10.1075/ijlcr.20010.her","title":"The <i>interphonology of contemporary English corpus</i> (IPCE-IPAC)","year":2021,"lang":"en","type":"article","venue":"International Journal of Learner Corpus Research","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interlanguage; Linguistics; Focus (optics); Corpus linguistics; Computer science; Phonology; Natural language processing; Artificial intelligence; History; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004679574,0.00007274638,0.0002068544,0.0002410335,0.0002854189,0.0001519479,0.00108176,0.0001201872,0.0004504877],"category_scores_gemma":[0.01778941,0.00005572445,0.0001555248,0.000315957,0.0008688489,0.0001258742,0.0002186658,0.0007304233,0.00003274652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759066,"about_ca_system_score_gemma":0.002526781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006969484,"about_ca_topic_score_gemma":0.0005114932,"domain_scores_codex":[0.9958653,0.00148268,0.0006279831,0.0001477858,0.001578943,0.0002973119],"domain_scores_gemma":[0.9867352,0.002273954,0.0004234368,0.0001746374,0.01025284,0.0001399783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001419429,0.0006625152,0.033518,0.00001497979,0.0009871401,0.002479686,0.0458672,0.00007334879,0.01002584,0.7034565,0.1518787,0.04961665],"study_design_scores_gemma":[0.000812328,0.0001293786,0.0009866341,0.00003882312,0.000005462232,0.00009573853,0.009767498,0.00002625588,0.001758314,0.008643272,0.9776734,0.00006295431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.26971,0.008261251,0.001817569,0.07867172,0.0314099,0.0004310015,0.00005285012,0.00005506662,0.6095906],"genre_scores_gemma":[0.984109,0.001582471,0.0002281441,0.0003119943,0.001901621,0.000003037334,0.00000434476,0.00001096345,0.01184835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8257946,"threshold_uncertainty_score":0.9904842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104266677832561,"score_gpt":0.4291146697323269,"score_spread":0.3248479918997659,"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."}}