{"id":"W4404001627","doi":"10.21432/cjlt28594","title":"STEM Teacher Candidates’ Preparation for Online Teaching: Promoting Technological and Pedagogical Knowledge","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Digital literacy in education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Teaching method; Mathematics education; Electronic learning; Teacher preparation; Technology integration; Educational technology; Pedagogy; Psychology; Higher education; Instructional design; Teacher education; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005436387,0.00009507715,0.0001506832,0.0006365803,0.0001706243,0.0003409443,0.0002327855,0.0001651559,0.000002185097],"category_scores_gemma":[0.0004705497,0.00007805399,0.00002464913,0.0002644711,0.0001384237,0.0003583588,0.00004238559,0.0006456905,0.000001745628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007687487,"about_ca_system_score_gemma":0.0003945981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493166,"about_ca_topic_score_gemma":0.0001737491,"domain_scores_codex":[0.99923,0.00004723459,0.000240953,0.0002163025,0.00005027852,0.0002152278],"domain_scores_gemma":[0.9994457,0.0001178265,0.00009040835,0.00008867672,0.000104814,0.0001525235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002752206,0.00002681543,0.008276155,0.00004403361,0.00002133146,0.00003685008,0.001965781,0.000002546686,0.0002537568,0.09142688,0.0002872884,0.8976558],"study_design_scores_gemma":[0.0002792604,0.001304285,0.0004152563,0.0003993701,0.00002900488,0.002680116,0.001700978,0.04923822,0.0003186436,0.0202438,0.9231291,0.0002620016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96229,0.005514107,0.02305098,0.00786447,0.0002481192,0.0001368062,0.000002990037,0.0001800013,0.000712472],"genre_scores_gemma":[0.9882087,0.00001258921,0.01045022,0.000007760436,0.00007252278,0.000005837052,0.000002425284,0.000008073845,0.001231934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9228418,"threshold_uncertainty_score":0.3287734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872218534871629,"score_gpt":0.3474969900076767,"score_spread":0.3087748046589604,"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."}}