{"id":"W4404316176","doi":"10.22329/jtl.v18i2.8625","title":"Backward Design in Pre-Service Teacher Education to Enhance Curriculum Knowledge","year":2024,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Service (business); Understanding by Design; Mathematics education; Pedagogy; Psychology; Computer science; Medical education; Curriculum development; Curriculum mapping; Business; Medicine; Marketing","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":[0.002879669,0.0004264771,0.0003029674,0.000756417,0.0004873733,0.000845967,0.000676749,0.000385593,0.003329812],"category_scores_gemma":[0.003963572,0.0002589113,0.0003196689,0.0002983385,0.0006942714,0.0006368497,0.001570703,0.0007928484,0.0005339381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771955,"about_ca_system_score_gemma":0.002518942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009584023,"about_ca_topic_score_gemma":0.002261302,"domain_scores_codex":[0.9984763,0.0008851599,0.00008185435,0.0001538333,0.0002785933,0.0001241844],"domain_scores_gemma":[0.9975961,0.001362345,0.0002459551,0.0002187319,0.0002788006,0.0002981804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001442618,0.007490975,0.02519579,0.001960838,0.00004724803,0.0003070209,0.02662554,0.002879801,0.08326649,0.01170075,0.002055761,0.8370272],"study_design_scores_gemma":[0.003349473,0.04949743,0.1958297,0.003523422,0.0007086207,0.003274161,0.04460111,0.0388572,0.1818893,0.07137118,0.4067476,0.0003507101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095545,0.000565625,0.169753,0.000585471,0.0001264113,0.001759896,0.00007616011,0.000561604,0.01701733],"genre_scores_gemma":[0.7063517,0.0003880816,0.2839761,0.0002204329,0.00001455716,0.001188182,0.0001081569,0.00005362515,0.007699145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003329812,"threshold_uncertainty_score":0.01522928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193902720798176,"score_gpt":0.3900468028098114,"score_spread":0.3681077756018297,"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."}}