{"id":"W53541293","doi":"","title":"Teaching Information Retrieval With Web-based Interactive Visualization","year":2010,"lang":"en","type":"article","venue":"","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visualization; Computer science; Context (archaeology); Information visualization; Interactive visualization; Creative visualization; World Wide Web; Multimedia; Information retrieval; Data science; Human–computer interaction; 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":[0.0009889384,0.0005217586,0.0004087484,0.0009223049,0.0003556079,0.001684117,0.0008498285,0.0006540864,0.007754092],"category_scores_gemma":[0.006043926,0.0002555772,0.0005708011,0.0007969843,0.0003757883,0.0022827,0.001353404,0.0007343985,0.001880887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000448701,"about_ca_system_score_gemma":0.0005172337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000544331,"about_ca_topic_score_gemma":0.0008627611,"domain_scores_codex":[0.9994227,0.0002494569,0.00003369773,0.00007992894,0.0001486187,0.00006567913],"domain_scores_gemma":[0.9964311,0.00272545,0.0001765663,0.0003222232,0.0001627762,0.000181987],"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":[0.0003828975,0.003875444,0.00755274,0.0009411111,0.00006418992,0.0008407297,0.00585936,0.01227946,0.06884389,0.01272204,0.01399207,0.872646],"study_design_scores_gemma":[0.001256774,0.008560253,0.04184406,0.001298632,0.0004685541,0.008048653,0.009478491,0.1831319,0.2701843,0.1001836,0.3750796,0.0004652409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4866231,0.002113037,0.4557846,0.001820818,0.0001226178,0.0004916218,0.000205451,0.007618518,0.04522021],"genre_scores_gemma":[0.6794607,0.002462693,0.3063303,0.0002714389,0.0001195258,0.0003655875,0.0002965461,0.0003533401,0.01033987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007754092,"threshold_uncertainty_score":0.02594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006616188393518283,"score_gpt":0.2771445104875114,"score_spread":0.2705283220939931,"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."}}