{"id":"W7015727709","doi":"","title":"Traffic Engineering in a Hybrid Format: More Learning with Less Meeting","year":2011,"lang":"en","type":"article","venue":"DigitalCommons - CalPoly (California State Polytechnic University)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Class (philosophy); Context (archaeology); Set (abstract data type); Control (management); Engineering education; Traffic engineering; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001845751,0.0008048728,0.0006103639,0.0006353084,0.001088353,0.004148089,0.00249507,0.001501602,0.02641477],"category_scores_gemma":[0.004301614,0.0003285648,0.0006373731,0.0005405358,0.0005974065,0.003754566,0.003709677,0.002212472,0.007009061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009212712,"about_ca_system_score_gemma":0.001363532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004588156,"about_ca_topic_score_gemma":0.001278751,"domain_scores_codex":[0.9985765,0.000347419,0.00007310967,0.0003884598,0.0003681099,0.0002463993],"domain_scores_gemma":[0.9965416,0.0006335275,0.0003430267,0.0003811342,0.0004602493,0.001640422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001044487,0.02958605,0.02502637,0.001049562,0.00007015323,0.0009056673,0.01102063,0.004262287,0.04680581,0.00734185,0.0768422,0.7960449],"study_design_scores_gemma":[0.001202332,0.02846713,0.2041825,0.0009581653,0.0002549512,0.004685624,0.03201221,0.02308873,0.03943906,0.02978733,0.6353531,0.0005689852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911635,0.0002346101,0.03262933,0.004464982,0.001115533,0.00103072,0.0003366566,0.00200583,0.04654732],"genre_scores_gemma":[0.7958431,0.0006852595,0.1305822,0.005156416,0.0006989856,0.001484122,0.001449144,0.0004098006,0.06369104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641477,"threshold_uncertainty_score":0.08836627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009393803894657205,"score_gpt":0.163662898315658,"score_spread":0.1542690944210008,"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."}}