{"id":"W2356314045","doi":"","title":"Introduction of Foreign Educational Resources and Optimization of Curriculum for Improving Undergradaute Programs in China","year":2004,"lang":"en","type":"article","venue":"Higher Agricultural Education","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; China; Agriculture; Nova scotia; Political science; Geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939439,0.0001229436,0.0001577296,0.0001581993,0.00007626065,0.00005817477,0.0002101563,0.00006457751,0.0000083842],"category_scores_gemma":[0.00007126503,0.0000947167,0.0000463381,0.0006021768,0.00004495701,0.0005617885,0.00003194307,0.00008464393,4.599304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182207,"about_ca_system_score_gemma":0.0002018489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005449952,"about_ca_topic_score_gemma":0.00001855171,"domain_scores_codex":[0.9989551,0.00007764561,0.0003557226,0.0003080648,0.0001607901,0.0001427043],"domain_scores_gemma":[0.9991947,0.00003741034,0.0003001711,0.0001825085,0.0002295524,0.0000556436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001521059,0.00232032,0.01471359,0.0004318604,0.00002837526,4.315384e-8,0.01166623,0.01728696,0.005171445,0.8993859,0.0009164218,0.04806365],"study_design_scores_gemma":[0.001235788,0.0003663941,0.9462879,0.0001712744,0.00004777249,0.00002643223,0.002456041,0.00300552,0.003191063,0.0404447,0.002264702,0.0005024489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.845291,0.0003974125,0.1388311,0.01293373,0.00131505,0.0007696468,0.000001599885,0.0000538212,0.0004066163],"genre_scores_gemma":[0.7001062,0.000007431612,0.2991235,0.00001659663,0.0002976121,0.00009001543,0.00006466373,0.000004763483,0.0002892216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9315743,"threshold_uncertainty_score":0.3862435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186980636349235,"score_gpt":0.2688094459982286,"score_spread":0.2569396396347363,"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."}}