{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003829429,0.0001183478,0.0001462006,0.0003434365,0.0001787072,0.0002639253,0.000326213,0.00005195776,0.00001191006],"category_scores_gemma":[0.0006723817,0.00009893018,0.00001842558,0.001091309,0.00006692818,0.3580972,0.0001454532,0.0001906285,0.000003340364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008356295,"about_ca_system_score_gemma":0.0004388584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001143837,"about_ca_topic_score_gemma":4.232632e-7,"domain_scores_codex":[0.9987859,0.0003336659,0.0003857422,0.0001621306,0.0002109111,0.0001217155],"domain_scores_gemma":[0.9964427,0.002820904,0.0004306379,0.000175691,0.00008669819,0.00004333408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0013118,0.000164845,0.002620689,0.0002674597,0.00007041233,0.000007031767,0.3377194,0.005553849,0.00006955805,0.6272392,0.001283608,0.02369204],"study_design_scores_gemma":[0.003606833,0.00440049,0.009130457,0.001266067,0.0000373142,0.00001807476,0.6136748,0.09190369,0.02462308,0.002724711,0.2479204,0.0006941184],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01456487,0.0007013637,0.9281051,0.05384545,0.0001024156,0.001067286,0.000005902644,0.0004075601,0.001200089],"genre_scores_gemma":[0.4387322,0.001052032,0.556941,0.002925637,0.00001925144,0.0001910005,0.00003215241,0.000006839431,0.000099914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6245145,"threshold_uncertainty_score":0.6508808,"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."}}