{"id":"W2096507573","doi":"10.5539/ies.v2n4p45","title":"An Evaluation System for the Online Training Programs in Meteorology and Hydrology","year":2009,"lang":"en","type":"article","venue":"International Education Studies","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Meteorological Administration","keywords":"Context (archaeology); Training (meteorology); China; Evaluation methods; Product (mathematics); Computer science; Process (computing); Environmental science; Program evaluation; Hydrology (agriculture); Meteorology; Operations research; Geography; Engineering; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.02552052,0.0007130549,0.000975205,0.003938275,0.001527431,0.003187804,0.00141011,0.0009737413,0.00659603],"category_scores_gemma":[0.04117075,0.0002984426,0.0006522118,0.002476139,0.0006834965,0.004905378,0.001873807,0.0008485169,0.002251528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439199,"about_ca_system_score_gemma":0.003853264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003431061,"about_ca_topic_score_gemma":0.002288274,"domain_scores_codex":[0.9783099,0.01159631,0.002674287,0.001469797,0.005478758,0.0004709251],"domain_scores_gemma":[0.9622733,0.01394663,0.001859336,0.003628342,0.01682175,0.001470616],"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":[0.001555578,0.001677604,0.01996439,0.001226325,0.0001615429,0.0002665145,0.001937957,0.01061721,0.01365851,0.02225274,0.05166191,0.8750197],"study_design_scores_gemma":[0.001166798,0.004361416,0.07896121,0.001266662,0.0008709124,0.001231746,0.002899098,0.5603586,0.07254962,0.02505543,0.2505626,0.0007158839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07811301,0.0006524444,0.8536852,0.001578007,0.0005103966,0.005482641,0.001613477,0.02066684,0.03769791],"genre_scores_gemma":[0.468442,0.0004649451,0.5079027,0.0003698608,0.0002120386,0.005216242,0.00375431,0.001000782,0.01263713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02552052,"threshold_uncertainty_score":0.134967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1882747435131562,"score_gpt":0.469600357684364,"score_spread":0.2813256141712078,"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."}}