{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245186,0.0007155948,0.001126655,0.001047533,0.0002551266,0.001805914,0.000635052,0.0007031467,0.003570864],"category_scores_gemma":[0.01367721,0.0002573509,0.0004700121,0.000933872,0.000260974,0.001807133,0.001086304,0.0007752772,0.0008156445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344743,"about_ca_system_score_gemma":0.0006921818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946235,"about_ca_topic_score_gemma":0.001208327,"domain_scores_codex":[0.9982229,0.0008041897,0.0001576767,0.0001842327,0.0005212645,0.000109844],"domain_scores_gemma":[0.9932263,0.004988897,0.0007002011,0.0003070266,0.0003746928,0.0004027564],"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":[0.004474114,0.006451168,0.03828504,0.0009243044,0.0005189939,0.00009517728,0.000526656,0.002102474,0.01632277,0.001918317,0.001828099,0.9265529],"study_design_scores_gemma":[0.005540583,0.0538147,0.6962749,0.002173356,0.008279401,0.001049627,0.003971202,0.03842499,0.1204361,0.02767304,0.0419592,0.0004029351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963291,0.004262493,0.01805239,0.002352171,0.0005000794,0.0002698155,0.000224783,0.0005235322,0.01052363],"genre_scores_gemma":[0.9653115,0.001892137,0.03003643,0.0002717142,0.0002459218,0.0002549969,0.0001213872,0.00006106028,0.001804865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003570864,"threshold_uncertainty_score":0.01194572,"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."}}