{"id":"W2129098507","doi":"10.17705/1jais.00208","title":"The Adoption and Use of IT Artifacts: A New Interaction-Centric Model for the Study of User-Artifact Relationships","year":2009,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Killam Trusts; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Artifact (error); Computer science; Context (archaeology); Affect (linguistics); Human–computer interaction; Structuring; Argument (complex analysis); Focus (optics); Exploit; Knowledge management; Data science; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004119371,0.001303069,0.0007483841,0.004580695,0.002248033,0.009044526,0.00251804,0.003779474,0.00498296],"category_scores_gemma":[0.006646541,0.0007805906,0.001559501,0.005416545,0.009042223,0.01344435,0.004534048,0.003188157,0.001204013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004514749,"about_ca_system_score_gemma":0.003381939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004995331,"about_ca_topic_score_gemma":0.002798198,"domain_scores_codex":[0.99343,0.00401749,0.0002973035,0.001006636,0.0008743053,0.0003743834],"domain_scores_gemma":[0.9898353,0.00679925,0.001253981,0.000925074,0.000667289,0.0005191247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002800509,0.0001190939,0.005724293,0.000211878,0.00004469452,0.0005484347,0.01640968,0.002542792,0.0008531689,0.9547179,0.00103108,0.01776903],"study_design_scores_gemma":[0.00007614831,0.0004125708,0.01211507,0.0007396475,0.0001731654,0.0022907,0.01373078,0.06036352,0.0008994503,0.7689076,0.1401549,0.0001365189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06802055,0.006202181,0.710377,0.01504084,0.0002807107,0.0007047697,0.0005370018,0.0003312359,0.1985057],"genre_scores_gemma":[0.8173581,0.005766473,0.1601896,0.001244308,0.0003151959,0.002032051,0.0003727044,0.0001524756,0.01256901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009044526,"threshold_uncertainty_score":0.03275698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08205178236997981,"score_gpt":0.2844238649972177,"score_spread":0.2023720826272379,"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."}}