{"id":"W2905740560","doi":"10.1287/serv.2018.0223","title":"Encouraging Innovations of Quality from User Innovators: An Empirical Study of Mobile Data Services","year":2018,"lang":"en","type":"article","venue":"Service Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Autonomy; Competence (human resources); Computer science; Knowledge management; Usability; Quality (philosophy); Process management; Human–computer interaction; Business; 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":[0.02378557,0.0003497219,0.0005296933,0.001607227,0.002712443,0.004695013,0.001132366,0.002209997,0.002080665],"category_scores_gemma":[0.09804272,0.0007438797,0.0006282661,0.001498686,0.004587011,0.005919921,0.003682699,0.003757216,0.000395229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203322,"about_ca_system_score_gemma":0.001998548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533809,"about_ca_topic_score_gemma":0.002548163,"domain_scores_codex":[0.9823085,0.01245672,0.001026009,0.0008796231,0.002248032,0.001081125],"domain_scores_gemma":[0.8162611,0.1563457,0.01225315,0.005163766,0.006365288,0.003611063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003887828,0.004508635,0.2731988,0.0006606682,0.0001267537,0.0007117544,0.6607456,0.0003522828,0.001958737,0.00903206,0.001104835,0.04721113],"study_design_scores_gemma":[0.0002551351,0.002816234,0.3016695,0.0004006931,0.0001200652,0.0006852308,0.6610968,0.006014447,0.002741005,0.003836534,0.02020846,0.0001559434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973105,0.00006153381,0.0006384843,0.0003220942,0.000003695431,0.00007857627,0.00001095366,0.000005482916,0.001568604],"genre_scores_gemma":[0.9982663,0.0000914137,0.0009014382,0.0002242507,0.000005237673,0.000107099,0.00001579962,0.000007873498,0.0003805328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02378557,"threshold_uncertainty_score":0.1257917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2839480135963595,"score_gpt":0.5202884865295315,"score_spread":0.236340472933172,"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."}}