{"id":"W2742758855","doi":"10.1515/probus-2017-0001","title":"Spanish stress and lexical accent across syntactic categories","year":2017,"lang":"en","type":"article","venue":"Probus","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stress (linguistics); Stress (linguistics); Linguistics; Morpheme; Syllable; Psychology; Computer science; Natural language processing; 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":[0.0001742174,0.00009448561,0.0001397242,0.00001731009,0.0004941116,0.0002375121,0.0003555492,0.0001239973,0.0003901647],"category_scores_gemma":[0.00009363904,0.00008240395,0.00002336984,0.00002029615,0.000406855,0.00007693716,0.0002856948,0.0002650732,0.0002003365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001220762,"about_ca_system_score_gemma":0.00002286464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008713072,"about_ca_topic_score_gemma":0.0004066765,"domain_scores_codex":[0.9990671,0.00004638352,0.0001053254,0.0002732775,0.00009703887,0.0004108683],"domain_scores_gemma":[0.9991702,0.0000606119,0.00006203602,0.0005569595,0.00004171318,0.0001084313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006158797,0.0007601155,0.8548833,0.0001862533,0.0003834198,0.0005283948,0.02504468,0.00000249872,0.001758794,0.02799331,0.005298423,0.08254489],"study_design_scores_gemma":[0.0005725497,0.000120809,0.9896997,0.00001240669,0.000009800474,0.00004908726,0.0003480743,0.00002347546,0.001630153,0.003971927,0.003425771,0.0001361962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865969,0.0005127392,0.00004145675,0.001579908,0.0006605441,0.0001646481,0.00003213376,0.00002663512,0.01038502],"genre_scores_gemma":[0.9969704,0.00008529477,0.00004983483,0.00004885261,0.0001268982,0.00004232643,0.000004303008,0.00001287483,0.002659234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1348164,"threshold_uncertainty_score":0.427203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07785256831380899,"score_gpt":0.4220380420033314,"score_spread":0.3441854736895224,"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."}}