{"id":"W1564695978","doi":"","title":"User adoption of interface agents for electronic mail","year":2005,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Interface (matter); Context (archaeology); User interface; Operability; World Wide Web; User interface design; Human–computer interaction; Knowledge management; User experience design; Software engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003719042,0.0003125795,0.0004909939,0.0006939591,0.0001274939,0.00006297924,0.001311035,0.0006618669,0.06363341],"category_scores_gemma":[0.0001019757,0.0003166102,0.000342724,0.0008603724,0.00007151037,0.0003608385,0.0001057735,0.0004208291,0.0003269933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351421,"about_ca_system_score_gemma":0.0001748499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001796355,"about_ca_topic_score_gemma":0.001814967,"domain_scores_codex":[0.9976728,0.0001049984,0.0005273742,0.0006854533,0.0005980229,0.0004113667],"domain_scores_gemma":[0.9980828,0.0001303756,0.0006923021,0.0005521448,0.0004576166,0.00008479324],"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":[0.0014168,0.0003143804,0.00890396,0.00007761965,0.000185646,0.00001297364,0.0009023159,0.0002411093,0.00115755,0.02168938,0.01950058,0.9455977],"study_design_scores_gemma":[0.00111416,0.0001848373,0.01380235,0.00007127863,0.0001577012,0.000002384835,0.008411967,0.0001225842,0.001442132,0.0007219414,0.9736391,0.0003295089],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.670588,0.0003909285,0.01401472,0.0003439863,0.001513067,0.001418033,0.0002136023,0.0003032551,0.3112144],"genre_scores_gemma":[0.2389292,0.00005055279,0.0006810575,0.0000301456,0.00003633745,0.000002613711,0.0001214066,0.00002942422,0.7601193],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9541386,"threshold_uncertainty_score":0.9999286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04438517808772303,"score_gpt":0.3160341109387389,"score_spread":0.2716489328510159,"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."}}