{"id":"W4399860905","doi":"10.1145/3660650.3660653","title":"Logic Circuits Unveiled: Bridging the Gap between Discrete Mathematics and Computer Science Education","year":2024,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Bridging (networking); Computer science; Relevance (law); Mathematics education; Comprehension; Digital electronics; Electronic circuit; Computer engineering; Mathematics; Electrical engineering; Engineering; Programming language","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":[0.0002015962,0.0001041495,0.00007814951,0.00008811486,0.00008868965,0.0002496735,0.0001486269,0.00002277296,0.00001764812],"category_scores_gemma":[0.00001088775,0.00007477463,0.00001818329,0.0002664968,0.0000868207,0.0001961173,0.00006366933,0.0001508437,0.00004147868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007303416,"about_ca_system_score_gemma":0.00002964693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003760438,"about_ca_topic_score_gemma":2.704487e-7,"domain_scores_codex":[0.999412,0.000004004874,0.0001164615,0.0001477916,0.0001410338,0.0001787001],"domain_scores_gemma":[0.9997009,0.00007923564,0.000006831309,0.0001510008,0.00001086355,0.00005115353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.806755e-7,0.0000393306,0.002175975,0.001938244,0.0001742601,0.00001190352,0.01419596,0.1979941,0.1801812,0.2412545,0.003536092,0.358498],"study_design_scores_gemma":[0.00002480036,0.00001079091,0.001436126,0.0001705127,0.00001134287,0.00002499722,0.0001658883,0.9891922,0.007053646,0.0004928872,0.001254129,0.0001626711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2652077,0.001727778,0.7166871,0.0001983836,0.001031577,0.0002022403,0.000002272833,0.001136199,0.01380678],"genre_scores_gemma":[0.9867719,0.00001466713,0.01274269,0.00002621047,0.0002752614,0.000007963807,0.000002169565,0.00002659113,0.000132527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7911981,"threshold_uncertainty_score":0.3049221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560156227993743,"score_gpt":0.2617129797867964,"score_spread":0.2461114175068589,"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."}}