{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02545157,0.0007472973,0.001064492,0.005826602,0.003197596,0.01213378,0.004669183,0.003430711,0.003395475],"category_scores_gemma":[0.03614541,0.001438886,0.001793305,0.005110484,0.007891883,0.03689668,0.01597658,0.007410761,0.003099968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003566489,"about_ca_system_score_gemma":0.005246496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499657,"about_ca_topic_score_gemma":0.004401331,"domain_scores_codex":[0.9856132,0.005029472,0.001932457,0.001888374,0.004768132,0.0007684282],"domain_scores_gemma":[0.9618759,0.008970269,0.002205903,0.01856632,0.007014044,0.00136763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004310145,0.00006592023,0.001204927,0.000220834,0.00002295743,0.0002326649,0.002661562,0.003137307,0.003048164,0.8712432,0.004806084,0.1133133],"study_design_scores_gemma":[0.00003027305,0.00005884079,0.0003601621,0.0004857895,0.00003800199,0.0004015038,0.001553315,0.02322877,0.009093507,0.6307726,0.3338674,0.0001097463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004863371,0.000593397,0.9791011,0.002423169,0.0001608893,0.0001886953,0.0002086815,0.001948745,0.010512],"genre_scores_gemma":[0.0785535,0.001242758,0.9067336,0.000980885,0.0002031981,0.0004449552,0.001544423,0.0009092729,0.009387367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02545157,"threshold_uncertainty_score":0.1346024,"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."}}