{"id":"W2014957262","doi":"10.1093/teamat/hrr009","title":"Sequencing computer-assisted learning of transformations of trigonometric functions","year":2011,"lang":"en","type":"article","venue":"Teaching Mathematics and its Applications An International Journal of the IMA","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Toronto","funders":"","keywords":"Trigonometry; CLIPS; Mathematics education; Class (philosophy); Animation; Test (biology); Computer science; Curriculum; Context (archaeology); Teaching method; Multimedia; Mathematics; Psychology; Artificial intelligence; Pedagogy; Computer graphics (images); Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001732842,0.00007296722,0.0001749622,0.0003241184,0.0003252573,0.00003974642,0.0005871805,0.00004250544,0.00006257975],"category_scores_gemma":[0.0003218447,0.00005549179,0.0001084671,0.0002134341,0.00009945886,0.0003029294,0.000039039,0.0002533976,8.902176e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007176973,"about_ca_system_score_gemma":0.0001428125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026712,"about_ca_topic_score_gemma":0.00001103406,"domain_scores_codex":[0.9987521,0.0001277925,0.0006460838,0.00006540932,0.0003299,0.00007870697],"domain_scores_gemma":[0.9981367,0.0002039193,0.0009715509,0.0001395133,0.0004887977,0.00005952145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005558635,0.0007998584,0.0004388735,0.00006808702,0.0001129455,1.384289e-7,0.06712104,0.00003468198,0.001218213,0.9054118,0.00003863176,0.02475018],"study_design_scores_gemma":[0.005081453,0.001886884,0.02944688,0.004181698,0.001861535,0.0008629523,0.1825414,0.1485245,0.02122791,0.5549964,0.04718111,0.002207239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1741428,0.00005634988,0.8153763,0.0002128358,0.0001499483,0.0002500488,0.00001057226,0.00002714998,0.009773952],"genre_scores_gemma":[0.8633714,0.00008038296,0.1363545,0.00001234637,0.0000672454,0.000008700024,0.000001638883,0.000007335995,0.00009644908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6892285,"threshold_uncertainty_score":0.2501649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07321057132894454,"score_gpt":0.3437320777201205,"score_spread":0.2705215063911759,"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."}}