{"id":"W2135913086","doi":"10.1504/ijceell.2006.008917","title":"Towards flexible learning object metadata","year":2006,"lang":"en","type":"article","venue":"International Journal of Continuing Engineering Education and Life-Long Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Metadata; Computer science; Learning object; Object (grammar); Process (computing); Metadata repository; Semantic Web; World Wide Web; Information retrieval; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009149353,0.0001804908,0.0002430005,0.0005592552,0.0001157692,0.001142644,0.0007008984,0.0000667757,0.00004445147],"category_scores_gemma":[0.001131968,0.0001828774,0.0001043649,0.000275906,0.00001954757,0.001648688,0.0001403114,0.0007666495,0.00001283663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102238,"about_ca_system_score_gemma":0.000315186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007471007,"about_ca_topic_score_gemma":0.000001828642,"domain_scores_codex":[0.9983643,0.000107348,0.0005507714,0.000231421,0.0005145404,0.0002315948],"domain_scores_gemma":[0.9984512,0.0001704038,0.0004880926,0.000122158,0.0006107611,0.0001573368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007730124,0.00072285,0.08256295,0.0001707549,0.0006481191,0.00007617909,0.01610981,0.3326538,0.01152991,0.140329,0.005621678,0.4094976],"study_design_scores_gemma":[0.002248288,0.0004106984,0.2658153,0.001500334,0.0001192682,0.001373866,0.007998727,0.08339291,0.004210966,0.0005666662,0.6309868,0.00137617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588487,0.002283786,0.3888991,0.00354227,0.007185054,0.0001327385,5.765171e-7,0.0004014382,0.009067993],"genre_scores_gemma":[0.9756802,0.0001019641,0.01717724,0.0001000699,0.001083503,0.000004719042,0.00001141999,0.00002360042,0.005817341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6253651,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007078361549191959,"score_gpt":0.2576780608286741,"score_spread":0.2505996992794822,"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."}}