{"id":"W2749861634","doi":"","title":"The Design of an Educationally Beneficial Immediate Feedback System","year":2017,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Guelph","keywords":"Computer science; Mathematics education; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003072572,0.0001768313,0.0002442895,0.00007999142,0.0003770612,0.00002399307,0.001045979,0.0001525724,0.00002028049],"category_scores_gemma":[0.00002465925,0.0001613941,0.0001121706,0.00008122651,0.00007766768,0.0001343092,0.00003090027,0.0002603889,0.00002413182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222853,"about_ca_system_score_gemma":0.00008748219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002154266,"about_ca_topic_score_gemma":0.00008476895,"domain_scores_codex":[0.9992273,0.00005284832,0.0001569106,0.0001329577,0.0002564849,0.0001735377],"domain_scores_gemma":[0.9989228,0.0001499993,0.0002419578,0.0005304761,0.0001094307,0.0000453676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004296932,0.00006411455,0.00003985502,0.001530147,0.0007108706,0.00001169385,0.01499889,0.5045899,0.4643012,0.003381042,0.001455553,0.008487096],"study_design_scores_gemma":[0.002950168,0.0007060814,0.3417797,0.002604991,0.001752974,0.00004776992,0.238405,0.3505012,0.04193892,0.0004004565,0.01604043,0.002872344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761882,0.002884105,0.00191724,0.0000767664,0.003384684,0.0006662166,0.00005655513,0.0002631702,0.01456304],"genre_scores_gemma":[0.9965445,0.0001637597,0.0008607914,5.763716e-7,0.0001507499,9.697819e-7,0.0001334406,0.00004259907,0.002102661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223623,"threshold_uncertainty_score":0.658146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037250499278396,"score_gpt":0.213267682223219,"score_spread":0.202895177230435,"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."}}