{"id":"W2326199250","doi":"10.5539/elt.v9n5p85","title":"Pedagogical Design Capacity and Underlying Knowledge Base of Curriculum Materials Use of a Hong Kong English Teacher","year":2016,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Mathematics education; Comprehension; Psychology; Pedagogy; Knowledge base; Reading (process); Curriculum development; Computer science; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004563964,0.0001633533,0.0003370983,0.0001506196,0.0002476287,0.00009656449,0.0002442897,0.0001459328,0.0003198058],"category_scores_gemma":[0.01418827,0.0001205051,0.00006611842,0.0001049717,0.000259665,0.0004838648,0.00008978035,0.0002370802,0.000001412712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008702256,"about_ca_system_score_gemma":0.00009080247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758411,"about_ca_topic_score_gemma":0.0001666063,"domain_scores_codex":[0.9971836,0.001579989,0.0004130692,0.0002520864,0.000269644,0.0003016162],"domain_scores_gemma":[0.9980685,0.001086439,0.0002802524,0.0002847982,0.0001434685,0.0001365751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006198233,0.000306441,0.003331677,0.00009966861,0.00002375307,0.00000187362,0.8644331,2.994704e-7,0.0221298,0.1018582,0.0004172792,0.007391728],"study_design_scores_gemma":[0.002130638,0.0003439513,0.001725542,0.003795878,0.0002866453,0.000007541114,0.8457884,0.0001295917,0.1199146,0.01424936,0.00974103,0.001886796],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600116,0.00009595529,0.03312903,0.00004019182,0.0002681159,0.0003188278,0.00001354138,0.0003020589,0.005820675],"genre_scores_gemma":[0.9704889,0.00001866165,0.02846639,0.00001088227,0.0002816676,0.00001632723,0.000002090349,0.00002198488,0.0006930726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09778479,"threshold_uncertainty_score":0.9941157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728229822892089,"score_gpt":0.3887209084783263,"score_spread":0.2158979261891174,"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."}}