{"id":"W2990100588","doi":"10.5539/ijel.v9n6p454","title":"The Impact of Neuro-Linguistic Programming on English Language Teaching: Perceptions of NLP-Trained English Teachers","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Computer science; Perception; Artificial intelligence; Natural language processing; English language; Thematic analysis; Linguistics; Psychology; Qualitative research; Mathematics education; Sociology","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":[0.004475853,0.000191911,0.0002782959,0.0005109213,0.002454502,0.003609216,0.0006707704,0.0008374873,0.002322312],"category_scores_gemma":[0.01287175,0.0003410114,0.0002283499,0.0003742064,0.003163404,0.001595336,0.002490214,0.001723516,0.0004599798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452495,"about_ca_system_score_gemma":0.002802756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193487,"about_ca_topic_score_gemma":0.006808399,"domain_scores_codex":[0.995922,0.002172417,0.0001813311,0.0002447582,0.0007875193,0.0006921003],"domain_scores_gemma":[0.9859809,0.007020863,0.001811455,0.0002804504,0.001589668,0.003316618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009147308,0.0005169398,0.08268549,0.0003104216,0.00001074855,0.001941559,0.8909758,0.0001361483,0.00511889,0.0007998751,0.0006996246,0.0167132],"study_design_scores_gemma":[0.00001279484,0.0004205468,0.03409218,0.0001439322,0.0000118232,0.0007236318,0.9570908,0.0002469764,0.0007516644,0.0002009143,0.006277478,0.00002720763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964582,0.0001168305,0.0002275262,0.0005178035,0.00001305982,0.00002114217,0.000006071238,0.000004939046,0.002634327],"genre_scores_gemma":[0.9982128,0.0002047772,0.0001919558,0.0001731656,0.000005282478,0.00001977627,0.000006521933,0.000003988474,0.001181782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004475853,"threshold_uncertainty_score":0.02367085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405874393050175,"score_gpt":0.3659240256427177,"score_spread":0.3518652817122159,"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."}}