{"id":"W1983060561","doi":"10.4028/www.scientific.net/amr.791-793.1570","title":"Research on Reform and Practice in Bilingual Teaching for Curriculum of Data Structure and Algorithm","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wilfrid Laurier University","keywords":"Curriculum; Quality (philosophy); Mathematics education; Course (navigation); Computer science; Teaching staff; Teaching method; Engineering management; Medical education; Algorithm; Engineering; Psychology; Pedagogy; Medicine","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":[0.01063891,0.0002032761,0.0003704753,0.001640319,0.001698939,0.003550378,0.0007868204,0.0008470434,0.003954235],"category_scores_gemma":[0.02632537,0.0002323237,0.0002699503,0.002188877,0.004031544,0.00405433,0.001728952,0.001535377,0.0005004885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006610832,"about_ca_system_score_gemma":0.01220838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006590521,"about_ca_topic_score_gemma":0.007048298,"domain_scores_codex":[0.9904689,0.006539498,0.0003559702,0.0007292607,0.001395751,0.0005106012],"domain_scores_gemma":[0.9748212,0.01466365,0.00212647,0.00225091,0.004281082,0.001856691],"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":[0.0001894463,0.001954668,0.02646264,0.002022939,0.00003742763,0.0003392543,0.1562927,0.001024579,0.005161885,0.2437625,0.006750878,0.5560011],"study_design_scores_gemma":[0.0002825555,0.001699035,0.07243846,0.004872793,0.0001589607,0.001474389,0.1825608,0.01043217,0.02425251,0.09975574,0.6019455,0.0001270125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6393524,0.02547579,0.1151582,0.0260212,0.0005914043,0.0009665102,0.00009806099,0.000223931,0.1921125],"genre_scores_gemma":[0.9381889,0.007325907,0.03801029,0.001317038,0.00009685499,0.0002499435,0.00007146716,0.00005096482,0.01468859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063891,"threshold_uncertainty_score":0.05626458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634977449742668,"score_gpt":0.550137134605819,"score_spread":0.3866393896315523,"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."}}