{"id":"W1565334579","doi":"10.21432/t2rg6x","title":"Investigating How Digital Technologies Can Support a Triad-Approach for Student Assessment in Higher Education / Étude des technologies numériques comme appuis à l’évaluation tripartite des étudiants universitaires","year":2013,"lang":"fr","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; Mount Royal University","funders":"","keywords":"Formative assessment; Triad (sociology); Valuation (finance); Sociology; Humanities; Library science; Pedagogy; Computer science; Art; Social science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04843691,0.0006746211,0.0006620637,0.004534689,0.002764021,0.009980823,0.001923953,0.001471282,0.003886272],"category_scores_gemma":[0.08550235,0.0005139214,0.0008936836,0.002775426,0.003068187,0.007730544,0.008500882,0.002131117,0.001395949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004757597,"about_ca_system_score_gemma":0.008895003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326212,"about_ca_topic_score_gemma":0.006728335,"domain_scores_codex":[0.94707,0.03532985,0.002579764,0.002520772,0.01067877,0.001820927],"domain_scores_gemma":[0.9169598,0.04347329,0.007274649,0.007208,0.0206166,0.004467605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008119824,0.001635035,0.08359555,0.001376367,0.0001093893,0.0004448096,0.1383874,0.001665742,0.009393205,0.02452861,0.002656886,0.7353951],"study_design_scores_gemma":[0.000691022,0.008938262,0.2259591,0.005137157,0.0004557832,0.002178065,0.3763274,0.02643212,0.04660609,0.06702765,0.2393685,0.0008789645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789126,0.001229087,0.150692,0.004727999,0.0003173877,0.002388775,0.0001317091,0.0006052778,0.05078181],"genre_scores_gemma":[0.8692287,0.0006612991,0.1207977,0.000454051,0.00004019063,0.001592559,0.0001092123,0.00007103969,0.007045195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04843691,"threshold_uncertainty_score":0.2561619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0866101079162203,"score_gpt":0.372402335499163,"score_spread":0.2857922275829426,"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."}}