{"id":"W2743841831","doi":"10.14236/ewic/ndm2009.62","title":"Computer Algebra Systems and Their Effect on Cognitive Load","year":2009,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Originality; Field (mathematics); Process (computing); Cognition; Value (mathematics); Cognitive load; Human–computer interaction; Mathematics education; Psychology; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007782682,0.0003031534,0.0003822389,0.0001296798,0.0001625417,0.0000958613,0.000155295,0.0001509988,0.00003143074],"category_scores_gemma":[0.00008649298,0.000249269,0.00005506933,0.0004038021,0.00006089443,0.00005048703,0.00004843767,0.000945382,0.000090886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171753,"about_ca_system_score_gemma":0.00005432951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001706066,"about_ca_topic_score_gemma":0.000006639931,"domain_scores_codex":[0.9977248,0.0004435909,0.0002726564,0.0005940751,0.0001530531,0.0008118098],"domain_scores_gemma":[0.9981535,0.001453405,0.0001183508,0.0001353629,0.00007482362,0.00006453561],"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":[0.0003229691,0.0001873301,0.003374663,0.00003481548,0.00008228441,0.00003631967,0.002902509,0.0002954643,0.00002284227,0.006200877,0.0001950325,0.9863449],"study_design_scores_gemma":[0.03877434,0.06814045,0.6295577,0.02206244,0.0003717009,0.001948352,0.01300621,0.1850858,0.002661694,0.0167878,0.01353714,0.008066309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751488,0.004860165,0.01023271,0.0001671957,0.0003958789,0.0003981398,9.638394e-7,0.0001794128,0.008616741],"genre_scores_gemma":[0.9983107,0.00001578701,0.00001433113,0.0008598149,0.0004844786,0.00001309124,0.000007130646,0.00002421097,0.0002704594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9782786,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202658288487677,"score_gpt":0.3075172095964147,"score_spread":0.2954906267115379,"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."}}