{"id":"W51974533","doi":"10.28945/2868","title":"Understanding Intention to Use Multimedia Information Systems for Learning","year":2005,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hypertext; Computer science; Multimedia; Context (archaeology); Reading (process); Technology acceptance model; Perception; World Wide Web; Knowledge management; Human–computer interaction; Usability; Psychology","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":[0.004445536,0.0002273235,0.0001715163,0.0009974755,0.0002431589,0.002166811,0.0003836104,0.0009799467,0.003348397],"category_scores_gemma":[0.02704821,0.0002380478,0.0004008279,0.0004441157,0.0006843135,0.002557786,0.0007533442,0.001116384,0.0004900101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103634,"about_ca_system_score_gemma":0.0005804072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877756,"about_ca_topic_score_gemma":0.001725149,"domain_scores_codex":[0.9983233,0.0008270862,0.0001344325,0.00009008876,0.0003950636,0.0002299482],"domain_scores_gemma":[0.9650356,0.02895131,0.002900672,0.0004880539,0.001974867,0.000649537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001723291,0.001615026,0.8457211,0.0003397614,0.0001169318,0.0001813904,0.05600162,0.001181681,0.002957696,0.007736736,0.0007575891,0.08321819],"study_design_scores_gemma":[0.00004243993,0.001428882,0.8770176,0.0004637723,0.0001536574,0.0003717347,0.08167716,0.02208142,0.003367877,0.007793968,0.005521787,0.00007975753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908355,0.0001020244,0.00226856,0.0005470699,0.000006431371,0.00004083783,0.00002367094,0.00001271973,0.006163195],"genre_scores_gemma":[0.9987624,0.00009584542,0.0006327396,0.0000691443,0.000003674211,0.00002318884,0.00002471619,0.000002734992,0.000385676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004445536,"threshold_uncertainty_score":0.02351052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3056491488856529,"score_gpt":0.4170881480008744,"score_spread":0.1114389991152215,"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."}}