{"id":"W2589817104","doi":"10.5334/gjgl.229","title":"Predicting prosodic structure by morphosyntactic category: A case study of Blackfoot","year":2017,"lang":"en","type":"article","venue":"Glossa a journal of general linguistics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Linguistics; Prosody; Phonology; Noun; Vowel; Phonotactics; Psychology; Morpheme; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005881749,0.0002055138,0.0004914796,0.000150498,0.0004501827,0.0001026739,0.0007136339,0.0001884766,0.0001829037],"category_scores_gemma":[0.002052443,0.0001739109,0.00009846935,0.00008694868,0.0002424608,0.00003209064,0.0001622811,0.0008616659,0.000005046918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004606864,"about_ca_system_score_gemma":0.0001765809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912483,"about_ca_topic_score_gemma":0.0005007008,"domain_scores_codex":[0.9979752,0.0002132324,0.0007562501,0.0002382532,0.0004130985,0.0004039635],"domain_scores_gemma":[0.9966246,0.0001229805,0.001311752,0.0007185458,0.001003597,0.0002184905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001912315,0.004666203,0.7952031,0.0001948818,0.003029174,0.05714092,0.05534547,0.0003176228,0.03665788,0.0009777222,0.04071908,0.003835608],"study_design_scores_gemma":[0.07832701,0.08049955,0.4432145,0.0008774424,0.007301435,0.1812975,0.08000581,0.009099866,0.04725302,0.03328157,0.03332595,0.005516345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994922,0.0006254355,0.0000291107,0.00005600508,0.002780264,0.0002446915,0.0001196602,0.000006879765,0.001215884],"genre_scores_gemma":[0.9975851,0.00001990491,0.0003407568,0.00002873997,0.001549903,0.000003064527,0.000003234539,0.00002979112,0.0004395411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519886,"threshold_uncertainty_score":0.709188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872694266672732,"score_gpt":0.3725825527730569,"score_spread":0.3338556101063296,"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."}}