{"id":"W32065948","doi":"10.1016/j.jpsychires.2020.01.019","title":"E-learning support for computer graphics teaching and testing","year":2010,"lang":"en","type":"article","venue":"International Conference on Telecommunications","topic":"Education, Psychology, and Social Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Toronto General and Western Hospital Foundation","keywords":"Computer science; Informatics; Computer graphics; Graphics; Bachelor; Raster graphics; Subject (documents); Animation; Informatics engineering; Multimedia; Computer animation; Mathematics education; Human–computer interaction; Computer graphics (images); World Wide Web; Engineering; Computer engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000379204,0.0004735681,0.0002128338,0.0007599302,0.0002944138,0.0009305244,0.0008781022,0.0004357911,0.166032],"category_scores_gemma":[0.002951444,0.00009406478,0.0002253671,0.0008240989,0.0001420388,0.0005917185,0.001170261,0.0003785841,0.07648714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244782,"about_ca_system_score_gemma":0.0004255352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008898646,"about_ca_topic_score_gemma":0.001275742,"domain_scores_codex":[0.9998125,0.00004383146,0.00001134403,0.00003245792,0.00006966323,0.00003029178],"domain_scores_gemma":[0.9983637,0.0005986446,0.0001102924,0.0003247711,0.0002083775,0.0003942386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003179438,0.0005168712,0.008086379,0.0001533923,0.00001260616,0.0004561964,0.0001553263,0.0006182196,0.003602665,0.0009474585,0.0764358,0.9086972],"study_design_scores_gemma":[0.0005243027,0.0014737,0.1076163,0.0004784729,0.00008125266,0.005292095,0.000760588,0.02535691,0.01877294,0.01316885,0.8263696,0.0001049349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3824569,0.004047433,0.08445846,0.00392945,0.0007417203,0.001046292,0.01218364,0.05198797,0.4591481],"genre_scores_gemma":[0.6742039,0.002495501,0.06643365,0.001114234,0.0004119779,0.0004673787,0.009390408,0.001671084,0.2438118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.166032,"threshold_uncertainty_score":0.5554326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769393022092992,"score_gpt":0.4937684671457105,"score_spread":0.3168291649364113,"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."}}