{"id":"W2112948217","doi":"10.18438/b8nc9v","title":"New Intersections for Student Engagement in Libraries: A Qualitative Exploration of Collaborative Learning with Multimedia Technologies","year":2008,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Web and Library Services","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Computer science; Collaborative learning; Negotiation; Multimedia; Qualitative property; Qualitative research; Mathematics education; Psychology; Knowledge management; World Wide Web; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01181371,0.0004407077,0.0006721321,0.002502506,0.00917263,0.006490387,0.00216365,0.001820965,0.004883427],"category_scores_gemma":[0.01577348,0.0004808075,0.0005394508,0.002937856,0.007702919,0.005348471,0.008974688,0.002244354,0.0005199644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004493275,"about_ca_system_score_gemma":0.004052596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002465069,"about_ca_topic_score_gemma":0.004294127,"domain_scores_codex":[0.9800439,0.01631069,0.0003598619,0.0005656789,0.001344266,0.001375524],"domain_scores_gemma":[0.9829087,0.01388363,0.0008904767,0.0005378721,0.0008977929,0.0008814446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005774712,0.0001429742,0.001993057,0.000165662,0.000005514998,0.0004171734,0.9838728,0.00006278621,0.0005817662,0.002765647,0.0004575136,0.009477281],"study_design_scores_gemma":[0.000009601722,0.00008600901,0.001219298,0.0001085462,0.000006254756,0.0002057086,0.985539,0.000165683,0.0008658131,0.0008240164,0.01095805,0.00001201946],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727321,0.0005801342,0.008138121,0.002346398,0.00004567475,0.0003367413,0.0001480478,0.00005838571,0.01561441],"genre_scores_gemma":[0.9930686,0.0003330093,0.002077749,0.0003539227,0.0000203822,0.000317409,0.00004914737,0.00002639548,0.003753469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01181371,"threshold_uncertainty_score":0.06247765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827104604841555,"score_gpt":0.307454639927395,"score_spread":0.2691835938789795,"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."}}