{"id":"W2914095861","doi":"10.17161/iallt.v37i1.8427","title":"Evaluating a Learning Object Repository","year":2005,"lang":"en","type":"article","venue":"IALLT Journal of Language Learning Technologies","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Object (grammar); Learning object; Computer science; World Wide Web; Order (exchange); Value (mathematics); Research Object; Information retrieval; Multimedia; Artificial intelligence; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06593262,0.001119811,0.001060004,0.005030318,0.002191451,0.006731793,0.002661992,0.002043196,0.003736728],"category_scores_gemma":[0.1218302,0.0004267604,0.0008449704,0.003207587,0.001574707,0.00983617,0.005572118,0.001009547,0.00132208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736988,"about_ca_system_score_gemma":0.004007156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276218,"about_ca_topic_score_gemma":0.00340955,"domain_scores_codex":[0.906303,0.05277376,0.005662656,0.003087214,0.02978292,0.002390525],"domain_scores_gemma":[0.8298447,0.09665123,0.009219919,0.01618984,0.04196031,0.006133994],"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":[0.004354375,0.01149689,0.1144383,0.003041117,0.0003753575,0.001785361,0.03283769,0.008796722,0.03520576,0.007180726,0.007146724,0.7733409],"study_design_scores_gemma":[0.002732024,0.07234396,0.2166476,0.00323869,0.001768629,0.00575453,0.1001702,0.07301426,0.2704414,0.009520586,0.242932,0.001435999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564868,0.0006820409,0.02806856,0.0005918532,0.000136922,0.002498043,0.0003587435,0.000854191,0.01032292],"genre_scores_gemma":[0.9204773,0.0005875851,0.06808344,0.0001984398,0.00006960142,0.00118474,0.002105568,0.0002947173,0.006998699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06593262,"threshold_uncertainty_score":0.3486892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347767937443988,"score_gpt":0.3335084607151635,"score_spread":0.3100307813407236,"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."}}