{"id":"W2262145660","doi":"","title":"Using Cognitive Artifacts for Learning","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Cognition; Artificial intelligence; Psychology","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":[0.0004260394,0.0001585027,0.0001888695,0.0006696695,0.0002537163,0.00007033764,0.0002736142,0.0001130143,0.00003561052],"category_scores_gemma":[0.0009167694,0.0001534233,0.00002992431,0.0005224442,0.0001355928,0.0001496201,0.00007699007,0.0003892177,0.00003267115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005466866,"about_ca_system_score_gemma":0.0002412772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009750464,"about_ca_topic_score_gemma":0.0000368579,"domain_scores_codex":[0.9987278,0.00002834826,0.0002426937,0.0004107409,0.0001946456,0.0003957847],"domain_scores_gemma":[0.997995,0.001226353,0.0001477235,0.0001421759,0.0003741088,0.0001146348],"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":[0.000008061917,0.00004211298,0.005225297,0.00001036236,0.00001451412,0.00000341208,0.0005831466,0.00000510067,0.001166343,0.9781861,0.00003387051,0.01472163],"study_design_scores_gemma":[0.0005705467,0.0002761472,0.006836338,0.0004641858,0.00002051275,0.00005123405,0.0005439367,0.005087267,0.01820062,0.9622236,0.005197851,0.0005277509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05955558,0.0004849193,0.8157303,0.1140567,0.004871669,0.0007058976,0.00000478811,0.0004198679,0.004170309],"genre_scores_gemma":[0.9847212,0.00001294412,0.01217414,0.0001189519,0.0004856586,0.00004455394,0.00000837385,0.00001076699,0.002423396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9251657,"threshold_uncertainty_score":0.6256421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08894508763488225,"score_gpt":0.3291799762146349,"score_spread":0.2402348885797526,"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."}}