{"id":"W2121147391","doi":"10.1108/17415650580000042","title":"A match‐making system for learners and learning objects","year":2005,"lang":"en","type":"article","venue":"Interactive Technology and Smart Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Computer science; Metadata; Metadata repository; Markup language; XML; Information retrieval; XSLT; Style sheet; RuleML; Learning object; XHTML; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.00707245,0.0008021475,0.001287985,0.002756639,0.002730925,0.005427584,0.004407534,0.002598361,0.01233377],"category_scores_gemma":[0.01460633,0.001074448,0.001267352,0.00258065,0.001081477,0.01109436,0.006618533,0.001934344,0.007283472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740132,"about_ca_system_score_gemma":0.003685539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007843834,"about_ca_topic_score_gemma":0.005345104,"domain_scores_codex":[0.9953901,0.0008610673,0.0006484317,0.001335817,0.001486578,0.0002779528],"domain_scores_gemma":[0.9952375,0.001315307,0.0003120969,0.001601067,0.0009095024,0.0006245413],"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":[0.001240081,0.000810421,0.007425354,0.0006566151,0.0002549726,0.001039949,0.002857695,0.0185666,0.01686377,0.1312334,0.04845882,0.7705924],"study_design_scores_gemma":[0.0002855817,0.0003381221,0.002257037,0.0001670462,0.0002759864,0.000877313,0.0009715462,0.32363,0.07138265,0.1279195,0.4716171,0.000278212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01047586,0.0002428503,0.929847,0.0004545189,0.0001525655,0.0005737568,0.0005428659,0.05093477,0.006775891],"genre_scores_gemma":[0.1083318,0.0002948809,0.8660817,0.0003845938,0.00009753573,0.0004650193,0.002741062,0.002117412,0.01948603],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01233377,"threshold_uncertainty_score":0.0412606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909018954515797,"score_gpt":0.2903096174675297,"score_spread":0.2814005985130139,"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."}}