{"id":"W2028594193","doi":"10.2298/fuee0703331y","title":"Teaching Reed-Muller techniques in introductory classes on logic design","year":2007,"lang":"en","type":"article","venue":"Facta universitatis - series Electronics and Energetics","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics education; Computer science; Logic synthesis; Logic gate; Mathematics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122862,0.00114286,0.0005096078,0.0007330274,0.0008159171,0.001709341,0.001133728,0.0009309106,0.02881063],"category_scores_gemma":[0.003769784,0.0004342729,0.0005343425,0.0007926672,0.001022924,0.002375467,0.001989073,0.001888877,0.01046585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009252562,"about_ca_system_score_gemma":0.001058438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003075366,"about_ca_topic_score_gemma":0.0009644001,"domain_scores_codex":[0.999281,0.0001680732,0.00004478574,0.000152217,0.0002443322,0.0001095673],"domain_scores_gemma":[0.9985673,0.0007990338,0.0001071946,0.0001511423,0.0001941423,0.0001809987],"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":[0.0001491827,0.001062851,0.001686929,0.0006796529,0.00001621016,0.0005631673,0.006057738,0.005014174,0.05292068,0.1807335,0.05592413,0.6951919],"study_design_scores_gemma":[0.0001268537,0.00111165,0.002834452,0.0007203118,0.00004050094,0.002949858,0.002093639,0.01218198,0.06384487,0.2242611,0.689732,0.00010278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05532558,0.002242176,0.775855,0.002860022,0.000944867,0.0005091173,0.0002013558,0.004661526,0.1574004],"genre_scores_gemma":[0.1788647,0.004099276,0.7166762,0.001258262,0.0004021382,0.0004467106,0.0004084959,0.0008508065,0.09699348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02881063,"threshold_uncertainty_score":0.09638113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006539755581221574,"score_gpt":0.2080512536174167,"score_spread":0.2015114980361952,"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."}}