{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142651,0.0001539569,0.0001504618,0.000522805,0.003595956,0.002544954,0.0005283361,0.0006119708,0.004870666],"category_scores_gemma":[0.003931202,0.0001471274,0.0001504362,0.0003538852,0.0009159187,0.0004772848,0.001342426,0.0007830615,0.0009683121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753729,"about_ca_system_score_gemma":0.009748723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736689,"about_ca_topic_score_gemma":0.1080447,"domain_scores_codex":[0.999153,0.0001859861,0.00002071599,0.00005194364,0.0001688277,0.0004195345],"domain_scores_gemma":[0.9971659,0.0003087722,0.0002962712,0.00006396411,0.0004839801,0.001681206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003344843,0.003416562,0.3854021,0.0003878403,0.00001264472,0.003863449,0.3564385,0.0003418076,0.02148325,0.002229366,0.01366484,0.2124251],"study_design_scores_gemma":[0.00003720282,0.001342048,0.409207,0.0002166137,0.00001575753,0.001054267,0.5077115,0.0003928245,0.005939287,0.0004381388,0.0735854,0.00006009623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912499,0.00006121793,0.0002286796,0.0008073165,0.00002116529,0.00006246549,0.00002263118,0.00001103762,0.007535553],"genre_scores_gemma":[0.9926352,0.0001330564,0.0005978601,0.000131909,0.000007282389,0.00003461517,0.00004310451,0.000004406747,0.006412492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736689,"threshold_uncertainty_score":0.05441517,"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."}}