{"id":"W2188255551","doi":"10.18260/1-2--20612","title":"Improving Student Interaction with Chemical Engineering Learning Tools: Screencasts and Simulations","year":2020,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Computer science; Reading (process); Multimedia; Process (computing); Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00002858841,0.000163667,0.0001286847,0.00004626674,0.00003588272,0.0001174641,0.0000644272,0.00004391939,0.00003999404],"category_scores_gemma":[0.00005488196,0.0001630721,0.00001867208,0.0001365429,0.00001007075,0.0003409109,0.0000537078,0.0003571888,0.000009688602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006128677,"about_ca_system_score_gemma":0.000003184036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003911295,"about_ca_topic_score_gemma":3.809883e-7,"domain_scores_codex":[0.9993552,0.000005256505,0.000145978,0.0001780331,0.0001265079,0.0001890316],"domain_scores_gemma":[0.9997053,0.00007405657,0.00001599732,0.00006644421,0.00001470461,0.0001235563],"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":[0.000004043332,0.000003483287,0.001067501,0.00003741273,0.00002361551,0.000003455286,0.0005096065,0.7407406,0.255669,0.0000553,0.000004519842,0.001881454],"study_design_scores_gemma":[0.0002340384,0.00005912914,0.0004259161,0.00003329984,0.000009957164,0.0000114872,0.0003640593,0.9604505,0.0373311,1.364162e-7,0.0008730032,0.000207402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794107,0.0001091969,0.1184219,0.00003774631,0.00006939842,0.0001163031,9.628428e-7,0.001124074,0.0007097051],"genre_scores_gemma":[0.9835902,0.000002786228,0.01620018,0.00002110505,0.00009976208,0.000008952735,0.000007914156,0.00005674667,0.00001233939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2197099,"threshold_uncertainty_score":0.6649885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101988635627192,"score_gpt":0.2239558937594851,"score_spread":0.2129360074032131,"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."}}