{"id":"W2259592941","doi":"","title":"Product Literature with Annotation and Analysis Tools - Customer Education using Learning Kits","year":2005,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Annotation; Product (mathematics); Computer science; Knowledge management; Natural language processing; 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":[0.003185271,0.001197171,0.00095127,0.0527285,0.002376802,0.005239716,0.001577639,0.001804756,0.03108447],"category_scores_gemma":[0.01531305,0.0006504076,0.001475022,0.0525321,0.001278982,0.006998302,0.002591143,0.00126261,0.01531382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541522,"about_ca_system_score_gemma":0.004459105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004472399,"about_ca_topic_score_gemma":0.006788768,"domain_scores_codex":[0.9965695,0.0008378892,0.0008299907,0.0004428565,0.00120143,0.000118399],"domain_scores_gemma":[0.9807436,0.01167116,0.0010129,0.002269035,0.004052823,0.0002504855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001984516,0.0002504284,0.004602804,0.01895799,0.0002211408,0.001559789,0.005554751,0.001486479,0.008248098,0.0460097,0.1620076,0.7509027],"study_design_scores_gemma":[0.00003947601,0.00004961621,0.006798092,0.005840741,0.0004355551,0.0009836558,0.001385518,0.002529778,0.006600059,0.01234978,0.9629102,0.00007757059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07019369,0.04331528,0.3096779,0.01074938,0.002509298,0.002896894,0.2025555,0.01882415,0.3392779],"genre_scores_gemma":[0.1774486,0.03964975,0.3808214,0.002306417,0.0006898346,0.003946065,0.2665953,0.006276222,0.1222664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0527285,"threshold_uncertainty_score":0.1039879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0548816092067533,"score_gpt":0.3041162717893698,"score_spread":0.2492346625826165,"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."}}