{"id":"W2162826006","doi":"10.5539/ijel.v2n4p23","title":"Stress Shifts of English Utterances Made by Indonesian Speakers of English (ISE)","year":2012,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Stress (linguistics); Linguistics; Syllable; Vocabulary; Psychology; Phonology; Word list; Test (biology); English language; Mathematics education; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990626,0.000239988,0.0002042571,0.0003295794,0.0004205602,0.0006970349,0.000166456,0.0003209854,0.001150172],"category_scores_gemma":[0.00267033,0.0001472212,0.0001344659,0.0001793018,0.000469235,0.0003737192,0.0006664441,0.0004116621,0.0003013498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755807,"about_ca_system_score_gemma":0.0001939116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034291,"about_ca_topic_score_gemma":0.002220572,"domain_scores_codex":[0.999656,0.00009997434,0.00004078766,0.0000454176,0.0001020419,0.0000558408],"domain_scores_gemma":[0.998744,0.00047697,0.0003812181,0.00004959441,0.000215798,0.0001323158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006440478,0.0002529023,0.3445663,0.0002437517,0.00004165114,0.003052061,0.4681048,0.00014368,0.1209997,0.0002561128,0.0005497832,0.06114523],"study_design_scores_gemma":[0.00000568718,0.0005931751,0.66469,0.00007729518,0.00003394052,0.002827031,0.3185448,0.0003172717,0.008935122,0.0001288301,0.003794006,0.00005280522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994874,0.00003745104,0.00006726282,0.00001586703,0.000003318641,0.00000245437,0.00001233013,0.000002308735,0.0003716709],"genre_scores_gemma":[0.9990669,0.00009108594,0.0001430121,0.00001545732,0.000003791659,0.000004998855,0.00003318408,0.000003158092,0.0006384482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150172,"threshold_uncertainty_score":0.003847659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182737273820375,"score_gpt":0.2621153042267802,"score_spread":0.2438415768447427,"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."}}