{"id":"W4210301664","doi":"10.1075/lab.21017.arc","title":"Phonological parsing via an integrated I-language","year":2022,"lang":"en","type":"article","venue":"Linguistic Approaches to Bilingualism","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Parsing; Computer science; Natural language processing; Property (philosophy); Linguistics; Syntax; Phonology; Grammar; Artificial intelligence; Context (archaeology); Philosophy; History","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":[0.00101451,0.0003660673,0.0003244878,0.001183398,0.0005188556,0.004314965,0.001000979,0.0007341397,0.008411713],"category_scores_gemma":[0.005046838,0.0004296856,0.0006128866,0.0009000114,0.003136601,0.005676732,0.00254678,0.001355353,0.001603772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062644,"about_ca_system_score_gemma":0.001066631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672169,"about_ca_topic_score_gemma":0.001465586,"domain_scores_codex":[0.9991089,0.0002945305,0.00004967502,0.0003094263,0.0001657403,0.00007170783],"domain_scores_gemma":[0.9972157,0.001129213,0.0002893331,0.0009031902,0.0003743903,0.00008810792],"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":[0.0001727871,0.00008152946,0.008151967,0.0002066451,0.00004956196,0.0007244984,0.004682422,0.005031937,0.02977968,0.8197497,0.002763935,0.1286054],"study_design_scores_gemma":[0.00003555048,0.00009186781,0.007042678,0.0001190278,0.00009079267,0.001409168,0.00136664,0.09104692,0.02640649,0.8452517,0.02704771,0.00009143236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1520707,0.0003211904,0.7681074,0.001779701,0.00005757802,0.00006375847,0.0005172863,0.004894986,0.07218745],"genre_scores_gemma":[0.9086353,0.0001168534,0.08716951,0.0002292643,0.00002494656,0.00002991763,0.0002212818,0.0004614207,0.003111655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008411713,"threshold_uncertainty_score":0.02813995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07898159509638313,"score_gpt":0.291938805218815,"score_spread":0.2129572101224319,"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."}}