{"id":"W1545288423","doi":"10.21432/t29w48","title":"Can Instructional Variables Be Combined Effectively to Enhance Learning Achievement?","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Instructional design; Teaching method; Academic achievement; Psychology; Computer science; Mastery learning; Pedagogy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005877808,0.000107663,0.0002356724,0.0009726191,0.001167198,0.00004830768,0.0002204644,0.000206575,0.00003959599],"category_scores_gemma":[0.002325878,0.0001153604,0.00002777609,0.0009249471,0.0004398399,0.00008485682,0.00001751483,0.0008357507,0.000004093406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329514,"about_ca_system_score_gemma":0.001028519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706949,"about_ca_topic_score_gemma":0.01318526,"domain_scores_codex":[0.998947,0.000111783,0.0002294849,0.0001708218,0.0001393282,0.0004015472],"domain_scores_gemma":[0.9990285,0.0001009291,0.0002130113,0.00005972841,0.0003206111,0.000277234],"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":[0.00004224668,0.00004272366,0.2384239,0.00001105247,0.0001746823,0.00006363653,0.01644944,0.0002676928,0.006154271,0.1753709,0.003692193,0.5593072],"study_design_scores_gemma":[0.000582964,0.002128945,0.03528566,0.0001636023,0.00004861959,0.0001184773,0.04798999,0.000006354942,0.003654613,0.03041206,0.8791742,0.0004345483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172453,0.0004146754,0.0003403422,0.07953595,0.0003111959,0.00009782139,0.000001191548,0.0001609317,0.001892569],"genre_scores_gemma":[0.9959745,0.00009668678,0.002024396,0.0001491248,0.00009122652,0.000004724842,6.875392e-7,0.000007266556,0.00165135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.875482,"threshold_uncertainty_score":0.8977265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008203019735946414,"score_gpt":0.2898348653667345,"score_spread":0.2816318456307881,"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."}}