{"id":"W2616269008","doi":"10.1300/j124v25n01_01","title":"Learning Objects: An Expedition from Archival Collection to Online Collaboration","year":2007,"lang":"en","type":"article","venue":"Technical Services Quarterly","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; Object (grammar); Curriculum; Learning object; Library science; Settlement (finance); World Wide Web; Computer science; Immigration; History; Sociology; Archaeology; Artificial intelligence; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01254551,0.0003387024,0.0004025399,0.008428529,0.01037282,0.01199812,0.001925755,0.0007962775,0.003956926],"category_scores_gemma":[0.01209724,0.0005454001,0.0003326274,0.01553708,0.0085738,0.008095288,0.01104233,0.002010829,0.0007686027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008988325,"about_ca_system_score_gemma":0.01731989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1412797,"about_ca_topic_score_gemma":0.2565632,"domain_scores_codex":[0.9949378,0.001763302,0.0004073222,0.0004509796,0.002080539,0.0003600922],"domain_scores_gemma":[0.9841913,0.004834217,0.0008280408,0.005318917,0.003506508,0.001320947],"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":[0.0001980583,0.0003106552,0.02247388,0.0007538251,0.00002715943,0.001385913,0.3834641,0.0007312211,0.00566286,0.05282485,0.01876707,0.5134003],"study_design_scores_gemma":[0.00005582195,0.0001648964,0.03340617,0.001003662,0.00004411851,0.0011385,0.1883028,0.001560802,0.009994485,0.01216768,0.7520289,0.0001320166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6459655,0.004893341,0.1386975,0.009366117,0.0006962744,0.003818239,0.00373343,0.002900665,0.189929],"genre_scores_gemma":[0.6968526,0.003758725,0.2453606,0.0007127139,0.0002349658,0.001181208,0.002846718,0.001436101,0.04761637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412797,"threshold_uncertainty_score":0.2809148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009846830779418187,"score_gpt":0.2924330489895672,"score_spread":0.282586218210149,"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."}}