{"id":"W2153760696","doi":"10.24908/pceea.v0i0.4716","title":"LEARNING HOW TO DESIGN A GRAPHICS PROCESSOR","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Graphics; Heuristic; Interfacing; Binary decision diagram; Digital electronics; Simple (philosophy); Computer architecture; Computer engineering; Theoretical computer science; Programming language; Electronic circuit; Computer hardware; Artificial intelligence; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007192396,0.001093164,0.0003471939,0.0006095573,0.0005720371,0.002147043,0.001608025,0.001567427,0.01991692],"category_scores_gemma":[0.003196244,0.0006070776,0.0006300453,0.0003565943,0.001086316,0.003619122,0.0009841402,0.00225263,0.0111262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006559513,"about_ca_system_score_gemma":0.0009220224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009215868,"about_ca_topic_score_gemma":0.0009419454,"domain_scores_codex":[0.9994123,0.0001044972,0.0000288063,0.0001220522,0.0002760189,0.00005626671],"domain_scores_gemma":[0.9994364,0.0002185275,0.00003237196,0.00008444091,0.0001532465,0.00007498192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001101153,0.000162618,0.001597491,0.0009027458,0.00006861309,0.0004612634,0.0008815953,0.02695892,0.02484719,0.1333001,0.04885497,0.7618543],"study_design_scores_gemma":[0.0001072444,0.0003349773,0.0005929157,0.000456968,0.00007188399,0.0009968068,0.0003437801,0.04784103,0.01982782,0.1186297,0.8107256,0.00007124301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004379348,0.001895002,0.9541506,0.002442879,0.0002922564,0.0002411459,0.0001101197,0.002721264,0.03376736],"genre_scores_gemma":[0.02508672,0.00207932,0.9532928,0.001009382,0.0001098297,0.0002176024,0.0002272867,0.0004810224,0.01749603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01991692,"threshold_uncertainty_score":0.06662875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208065868238165,"score_gpt":0.2151317992234377,"score_spread":0.2030511405410561,"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."}}