{"id":"W1511546236","doi":"","title":"An Integrated Approach for Automatic&#13;\\nAggregation of Learning Knowledge Objects","year":2007,"lang":"en","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Royal Military College of Canada","funders":"","keywords":"Multidisciplinary approach; Association (psychology); Knowledge management; Engineering ethics; Data science; Computer science; Political science; Management science; Sociology; Engineering; Epistemology; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005941335,0.0001829249,0.0002782003,0.0003244492,0.0003006172,0.00004150656,0.0008813697,0.00009205103,0.000006097668],"category_scores_gemma":[0.0001426807,0.0001736852,0.0001223177,0.0005015226,0.000115411,0.0005568924,0.0001649937,0.0001644731,0.000008164395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196118,"about_ca_system_score_gemma":0.0002637422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02670171,"about_ca_topic_score_gemma":0.09141414,"domain_scores_codex":[0.9987353,0.0001050296,0.0002497522,0.0003797133,0.0001791805,0.0003510046],"domain_scores_gemma":[0.9985681,0.0004657145,0.0002067095,0.0004443532,0.0001896188,0.000125472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001180318,0.0004453601,0.006174115,0.0001303454,0.0001010836,0.00002695163,0.2334347,0.001718146,0.002319822,0.02242873,0.0002033314,0.7328994],"study_design_scores_gemma":[0.00124559,0.0005923159,0.03254305,0.00004697063,0.00004803536,0.00003239755,0.05126434,0.9096062,0.002143743,0.001056826,0.001069425,0.000351098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4703571,0.0003400656,0.5278,0.00007756767,0.00005829444,0.0001717652,8.718334e-7,0.0002174638,0.0009769477],"genre_scores_gemma":[0.9019784,0.00001499827,0.09783152,0.00002184858,0.00003206945,0.000003591627,0.00001294066,0.00001260556,0.00009201268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9078881,"threshold_uncertainty_score":0.9797795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009747219652426314,"score_gpt":0.2045083768310098,"score_spread":0.1947611571785834,"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."}}