{"id":"W1990002880","doi":"10.4018/joeuc.2002010102","title":"The Role of Trainer Behavior in End User Software Training","year":2002,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Trainer; Computer science; Context (archaeology); Card sorting; Process (computing); Class (philosophy); Retraining; Training (meteorology); Applied psychology; Multimedia; Human–computer interaction; Psychology; Knowledge management; Task (project management); Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004662159,0.00009951994,0.0001736595,0.0001608591,0.00021477,0.0001330917,0.0004629873,0.00004392298,0.00005862504],"category_scores_gemma":[0.0003002168,0.00007504566,0.00003924159,0.0008194178,0.0000598971,0.0003834137,0.0001425894,0.0002180845,0.000002088394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002904293,"about_ca_system_score_gemma":0.00006933504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004556975,"about_ca_topic_score_gemma":0.000004008509,"domain_scores_codex":[0.9987084,0.00005094906,0.0005799882,0.0001245138,0.0003602704,0.0001758694],"domain_scores_gemma":[0.9986408,0.0004062686,0.0003663226,0.0001211425,0.0004110764,0.00005436249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007494693,0.0002978551,0.7149008,0.0000160683,0.00007890165,0.00005008169,0.01940749,0.00468126,0.002133101,0.04467309,0.0005085862,0.2132453],"study_design_scores_gemma":[0.001836253,0.0002558119,0.9258967,0.000226704,0.00004942105,0.00131175,0.002447653,0.04030791,0.001383241,0.006658257,0.01907967,0.0005466377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839467,0.0004828912,0.1140359,0.0009972849,0.0002519727,0.0000832985,0.000003297101,0.00002668376,0.0001719889],"genre_scores_gemma":[0.9527139,0.00001289054,0.04695015,0.0001145701,0.0001332932,4.110556e-7,0.000001000458,0.00001168994,0.00006208686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126987,"threshold_uncertainty_score":0.3060273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840645416471231,"score_gpt":0.2284301316795199,"score_spread":0.2100236775148075,"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."}}