{"id":"W3083773551","doi":"10.28945/3079","title":"Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems","year":2007,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Learning Management; Learning object; Interoperability; Metadata; Middleware (distributed applications); Object (grammar); World Wide Web; Multimedia; Database; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004298073,0.0001721488,0.0001726782,0.0003421517,0.001290684,0.001496535,0.0008145972,0.00005610754,0.000008420563],"category_scores_gemma":[0.001023705,0.0001611378,0.00003147639,0.0006010201,0.0002504619,0.002373352,0.0002598158,0.0002898124,0.00002848562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908692,"about_ca_system_score_gemma":0.0008969399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055621,"about_ca_topic_score_gemma":0.00002742358,"domain_scores_codex":[0.9979531,0.00005515738,0.0004376873,0.0005708372,0.000507408,0.0004758242],"domain_scores_gemma":[0.9978849,0.0001793803,0.000260956,0.0003559927,0.001116697,0.0002020762],"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":[0.00002099751,0.0001100292,0.007757434,0.0003325494,0.00001604328,6.433738e-7,0.0586469,0.0002658325,0.000799319,0.3858139,0.0003374302,0.5458989],"study_design_scores_gemma":[0.0004027831,0.0004505866,0.02886107,0.0006396383,0.00002098723,0.00009814744,0.2779714,0.01398937,0.00103949,0.001019886,0.6746408,0.0008658278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4206488,0.0007174908,0.1957332,0.006572932,0.008514922,0.001534747,4.428306e-7,0.0005446915,0.3657327],"genre_scores_gemma":[0.9842077,0.0002388361,0.009087881,0.0001704694,0.0001411503,0.00007356797,0.000003309693,0.000006665734,0.006070341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6743034,"threshold_uncertainty_score":0.99954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668111763038809,"score_gpt":0.3315257719924652,"score_spread":0.2748446543620772,"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."}}