{"id":"W2538393994","doi":"10.71781/9815","title":"An intelligent help system to support teachers to author learning sessions in decision-making in network design","year":2006,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional para Investigaciones Científicas y Tecnológicas; Universidad de Costa Rica; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Session (web analytics); Adaptation (eye); Computer science; Context (archaeology); Hypermedia; Multimedia; Adaptive hypermedia; World Wide Web; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001364286,0.0008581435,0.0005278272,0.0009330163,0.0003910841,0.001009646,0.001131639,0.0006826473,0.008998244],"category_scores_gemma":[0.005688949,0.0003502496,0.0002851678,0.0004733808,0.0001816331,0.00168502,0.0009844674,0.0005797114,0.002892967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549786,"about_ca_system_score_gemma":0.0006273456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007908085,"about_ca_topic_score_gemma":0.001496731,"domain_scores_codex":[0.9992886,0.0002633902,0.0000740687,0.0001699929,0.0001637148,0.0000402806],"domain_scores_gemma":[0.9971741,0.001684227,0.000183665,0.000443902,0.0003377159,0.0001763592],"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":[0.001065298,0.0009153594,0.006776665,0.0006413481,0.00006018381,0.0008136338,0.00221432,0.00791424,0.03560698,0.004224554,0.03451065,0.9052567],"study_design_scores_gemma":[0.001107831,0.001791343,0.0122568,0.0003535844,0.000373279,0.002685851,0.0009885039,0.4540515,0.08159192,0.0136074,0.4309449,0.000247184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071121,0.0004166256,0.7109729,0.0007498392,0.0001671836,0.001240392,0.001183806,0.1616249,0.01653226],"genre_scores_gemma":[0.2774011,0.0003666689,0.6975189,0.000362077,0.0001102079,0.0007861075,0.001817148,0.001571142,0.0200665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008998244,"threshold_uncertainty_score":0.03010213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00940290570890621,"score_gpt":0.2416700534559482,"score_spread":0.232267147747042,"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."}}