{"id":"W274369908","doi":"10.28945/2565","title":"Learning Object Repository Technologies for TeleLearning: The Evolution of POOL and CanCore","year":2002,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"University of Alberta; Canarie; Athabasca University","keywords":"Learning object; Computer science; Metadata; Scalability; Object (grammar); World Wide Web; Architecture; Artificial intelligence; Database","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0213261,0.0008749069,0.001236281,0.004884154,0.002200444,0.007940642,0.005589931,0.004191944,0.004731186],"category_scores_gemma":[0.0251925,0.001200017,0.001217007,0.00626356,0.005883383,0.03669902,0.01130155,0.007722004,0.002128238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005639031,"about_ca_system_score_gemma":0.01140122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00664149,"about_ca_topic_score_gemma":0.004182387,"domain_scores_codex":[0.9884982,0.002149452,0.0008891087,0.001855364,0.005786234,0.0008217024],"domain_scores_gemma":[0.9730297,0.005379451,0.001255409,0.008429873,0.009543724,0.002361818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002391581,0.0003072988,0.001086407,0.0005147403,0.00004420033,0.0002594282,0.002016894,0.001884487,0.004319513,0.5333277,0.03513758,0.4208627],"study_design_scores_gemma":[0.0001104462,0.0002843375,0.000859019,0.0005168794,0.00005917776,0.0006857866,0.0006160827,0.01118956,0.006984957,0.06544787,0.9130874,0.0001584158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02831491,0.02167656,0.8114974,0.03390437,0.003368995,0.001328787,0.0006210962,0.007833584,0.09145427],"genre_scores_gemma":[0.1123509,0.01292095,0.797461,0.007524539,0.001405744,0.001374,0.001254823,0.001815646,0.06389233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9920594,"threshold_uncertainty_score":0.1127846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192199924466117,"score_gpt":0.2665111710666202,"score_spread":0.2472911786200085,"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."}}