{"id":"W4377286935","doi":"10.5539/elt.v16n6p91","title":"Understanding Teachers’ Knowledge and Skills via Technological Pedagogical and Content Knowledge Framework","year":2023,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Technology integration; Mathematics education; Information and Communications Technology; Data collection; Pedagogy; Foreign language; Teaching method; Sociology; Computer science","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":[0.005579947,0.0002111166,0.0002712024,0.002187276,0.002470761,0.003488482,0.0007159833,0.0006531539,0.001799908],"category_scores_gemma":[0.008448566,0.0002549909,0.0001890134,0.001306121,0.004544539,0.003978907,0.002395012,0.0009553314,0.0001563678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0040427,"about_ca_system_score_gemma":0.00647298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008783131,"about_ca_topic_score_gemma":0.009523834,"domain_scores_codex":[0.9968272,0.001960884,0.0001616195,0.0002049988,0.0004772301,0.0003680354],"domain_scores_gemma":[0.9934848,0.005074259,0.000376405,0.0002003118,0.0006017743,0.0002624582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000009660201,0.00009674836,0.01223073,0.0002281977,0.000004568376,0.0005478015,0.9545068,0.0001587814,0.001682131,0.0100614,0.0003098964,0.02016338],"study_design_scores_gemma":[0.000005623337,0.00002826398,0.006032264,0.0003319117,0.000007417716,0.0002673694,0.9750077,0.0005120144,0.0009516175,0.003921944,0.01292416,0.000009747559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577634,0.0004783699,0.01432989,0.002695022,0.00001912536,0.00032334,0.0001361967,0.00002468196,0.02423],"genre_scores_gemma":[0.9928929,0.0002869575,0.004721447,0.0001619458,0.000003212965,0.0002161885,0.00003489938,0.000005559527,0.001676924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008783131,"threshold_uncertainty_score":0.02950996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.176042085714654,"score_gpt":0.4110734545044158,"score_spread":0.2350313687897619,"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."}}