{"id":"W2789774006","doi":"10.3765/amp.v5i0.4246","title":"Weighted scalar constraints capture the typology of loanword adaptation","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Meetings on Phonology","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Typology; Optimality theory; Vocabulary; Computer science; Ranking (information retrieval); Linguistics; Constraint (computer-aided design); Focus (optics); Scalar (mathematics); Natural language processing; Loanword; Grammar; Mathematics; Artificial intelligence; Sociology; Phonology; Philosophy; Geometry; Physics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001033624,0.0001085164,0.0002239806,0.0000835767,0.0003475774,0.00001084419,0.0006333822,0.0002668249,0.0002029076],"category_scores_gemma":[0.00414498,0.00006817883,0.00006645775,0.0003666992,0.003120692,0.00005673288,0.0001064691,0.0002269864,0.0000270932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003316831,"about_ca_system_score_gemma":0.000155801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233625,"about_ca_topic_score_gemma":0.0002342532,"domain_scores_codex":[0.9988334,0.00008274423,0.0003295424,0.0002167038,0.0002464185,0.0002911704],"domain_scores_gemma":[0.997326,0.0002597978,0.000564187,0.0001064379,0.001699675,0.00004392885],"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":[0.0001544032,0.0000758096,0.003305606,0.00001303943,0.00005055383,2.988213e-7,0.06319303,5.631015e-7,0.00455756,0.9198449,0.006682825,0.002121452],"study_design_scores_gemma":[0.003082304,0.002129113,0.04035649,0.000261034,0.000354134,0.00006649841,0.3254323,0.0001492011,0.08891211,0.1722877,0.3661705,0.0007986435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646165,0.00003347364,0.00002106426,0.02152702,0.001493876,0.0003657979,0.00002216527,0.00005018245,0.2118699],"genre_scores_gemma":[0.9972655,0.00001603883,0.0004980315,0.001300769,0.0003661159,0.000009397261,8.816219e-7,0.000007895535,0.0005353739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7475572,"threshold_uncertainty_score":0.9995922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599778864930999,"score_gpt":0.2745962385355826,"score_spread":0.2585984498862726,"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."}}