{"id":"W2153361983","doi":"10.12735/ier.v1i1p43","title":"Development of the Engineering Technology Word List for Vocational Schools in Malaysia","year":2013,"lang":"en","type":"article","venue":"International Education Research","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexis; Vocabulary; Vocational education; Curriculum; Computer science; Word (group theory); Resource (disambiguation); Mathematics education; Linguistics; Pedagogy; Sociology; Psychology","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":[0.001523471,0.000537078,0.0003503028,0.006714394,0.0007412017,0.001680583,0.0005177929,0.0004227873,0.007033648],"category_scores_gemma":[0.004443738,0.0003507494,0.0002596299,0.004102066,0.0003611248,0.00297652,0.001057469,0.0008035574,0.004618514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200781,"about_ca_system_score_gemma":0.004764441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572302,"about_ca_topic_score_gemma":0.00645058,"domain_scores_codex":[0.9992761,0.0001685038,0.0002240267,0.0000682938,0.0002149236,0.00004813022],"domain_scores_gemma":[0.9969692,0.00067813,0.0004698077,0.0001127353,0.001557446,0.0002127165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002632198,0.0003690875,0.02414837,0.002444523,0.0000112176,0.001387387,0.008521324,0.001318972,0.02526491,0.01016691,0.043425,0.882679],"study_design_scores_gemma":[0.0001576313,0.001213259,0.1407421,0.00302399,0.00008975146,0.002788437,0.02755888,0.008548388,0.0517767,0.004948154,0.7588491,0.0003036653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7476733,0.002654644,0.116864,0.004239749,0.001378071,0.007622372,0.02909365,0.004533332,0.08594089],"genre_scores_gemma":[0.3461524,0.002945813,0.5608734,0.0004694616,0.0001079937,0.004655243,0.03895621,0.0007877598,0.04505178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007033648,"threshold_uncertainty_score":0.02352989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858782435766619,"score_gpt":0.4356104685006882,"score_spread":0.3870226441430221,"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."}}