{"id":"W2587029877","doi":"10.24251/hicss.2017.610","title":"Characterizing, Explaining and Valuing the Effective Use of an IT Artefact: A Field Study of Performance Management Information Systems in SMEs","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Relevance (law); Field (mathematics); Knowledge management; Empirical research; Information system; Computer science; Management science; Engineering; Epistemology; Mathematics","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":[0.01638939,0.0004040811,0.0004371235,0.003081349,0.003758448,0.002890004,0.0008608305,0.001487669,0.001379131],"category_scores_gemma":[0.02574753,0.0005487112,0.0004001933,0.001952935,0.005673974,0.0043699,0.00246003,0.001916036,0.0002029788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00306412,"about_ca_system_score_gemma":0.002265784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005230818,"about_ca_topic_score_gemma":0.007477554,"domain_scores_codex":[0.9929633,0.005001274,0.0003950761,0.0004450043,0.0005749376,0.0006203995],"domain_scores_gemma":[0.9488388,0.0398962,0.004883092,0.001584112,0.003047843,0.001749869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007646194,0.006423593,0.2349378,0.000492746,0.00005478314,0.001292476,0.7040302,0.0005797244,0.008370417,0.005476167,0.000414677,0.03716283],"study_design_scores_gemma":[0.00009091481,0.0040919,0.2262093,0.0003058599,0.00004681496,0.0004252154,0.757066,0.001386021,0.003556725,0.002906388,0.003839815,0.00007515131],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991828,0.00002332385,0.0001938559,0.00009677983,9.979568e-7,0.00002486612,0.00000414376,7.332113e-7,0.0004726541],"genre_scores_gemma":[0.9991787,0.00006523672,0.0003976715,0.00005701221,0.000003370401,0.00005561913,0.000008693833,0.000001516222,0.0002322017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01638939,"threshold_uncertainty_score":0.08667636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04172611989095035,"score_gpt":0.2799589682475161,"score_spread":0.2382328483565658,"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."}}