{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002792479,0.000104139,0.0001252018,0.001045056,0.0006580714,0.001725919,0.0004542423,0.00007781719,0.00002803187],"category_scores_gemma":[0.008257489,0.00008795084,0.00002449948,0.0009997858,0.0002385612,0.007099823,0.00009060537,0.0001321584,0.0001617378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460981,"about_ca_system_score_gemma":0.0007899146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007422268,"about_ca_topic_score_gemma":0.00004381384,"domain_scores_codex":[0.9981418,0.00001880743,0.0005301014,0.0002535864,0.0007932378,0.000262521],"domain_scores_gemma":[0.99722,0.0002846327,0.0002626413,0.0002339594,0.001822265,0.0001764444],"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":[0.00004461483,0.0000586157,0.08130937,0.00001615274,0.000004235075,7.809003e-8,0.01559959,0.0006500383,0.0009916796,0.1598737,0.01337422,0.7280777],"study_design_scores_gemma":[0.0004931351,0.0002099564,0.06836964,0.0001594146,0.00001409952,0.00003029792,0.08704916,0.1546123,0.0004415471,0.002019142,0.6861508,0.0004505285],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6598116,0.00001164252,0.3272666,0.00815694,0.001374478,0.0007426467,0.000007073341,0.0001328002,0.002496253],"genre_scores_gemma":[0.9917461,0.00001563083,0.005599479,0.001011383,0.00002927028,0.00006717312,0.000006098219,0.000002792568,0.001522119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7276272,"threshold_uncertainty_score":0.9993104,"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."}}