{"id":"W1806045462","doi":"10.29173/mruer112","title":"Maximizing student experience in mathematics: Traditional tools versus digital technologies","year":2014,"lang":"en","type":"article","venue":"Mount Royal Undergraduate Education Review","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Field (mathematics); Digital learning; Psychology; Pedagogy; Computer science; Mathematics","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":[0.003454188,0.0001861297,0.0005090638,0.001683507,0.0004552154,0.002531635,0.0003992498,0.0006162628,0.001853239],"category_scores_gemma":[0.006774309,0.0001408989,0.0003734289,0.001785964,0.0009081045,0.00235078,0.00162342,0.0003979601,0.0002675922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387931,"about_ca_system_score_gemma":0.001296847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005851751,"about_ca_topic_score_gemma":0.002189768,"domain_scores_codex":[0.9961503,0.002364676,0.0003069752,0.0001784182,0.0008325364,0.0001670916],"domain_scores_gemma":[0.9941252,0.004387716,0.0007951192,0.00009183594,0.0004143539,0.0001857571],"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":[0.0002427498,0.0004090557,0.02882109,0.02172919,0.0003170855,0.0009129734,0.02155407,0.0001416056,0.00233741,0.00762507,0.003001895,0.9129078],"study_design_scores_gemma":[0.0001645419,0.004298585,0.1667981,0.05581313,0.00111243,0.009095714,0.1459231,0.0001692522,0.005281734,0.003357526,0.6078874,0.00009846116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.325285,0.6416081,0.0009462563,0.003074071,0.0003264631,0.00008711882,0.0000455865,0.00001233236,0.02861503],"genre_scores_gemma":[0.6027141,0.3922782,0.001798804,0.0006225503,0.000140197,0.00005601793,0.00002660337,0.000009182524,0.002354447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003454188,"threshold_uncertainty_score":0.01826775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07446702681621482,"score_gpt":0.3680812775016128,"score_spread":0.293614250685398,"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."}}