{"id":"W2051546532","doi":"10.1057/jit.2014.5","title":"Design for Maintenance: How Kms Document Linking Decisions Affect Maintenance Effort and Use","year":2014,"lang":"en","type":"article","venue":"Journal of Information Technology","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Design for manufacturability; Information system; Knowledge management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02020631,0.0005377588,0.0004909175,0.002607158,0.001330515,0.006196891,0.001244797,0.001393997,0.002213538],"category_scores_gemma":[0.1679145,0.0006223352,0.0005161178,0.001988312,0.00106777,0.006556424,0.001841325,0.001093196,0.0005720769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465284,"about_ca_system_score_gemma":0.001894549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733659,"about_ca_topic_score_gemma":0.004151628,"domain_scores_codex":[0.9791864,0.01176,0.00176372,0.001862707,0.004641215,0.0007859309],"domain_scores_gemma":[0.7596092,0.172754,0.03397961,0.01164763,0.01901926,0.002990227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185186,0.001396594,0.6075056,0.0009299018,0.0005189141,0.0005555578,0.02850734,0.01098076,0.0170168,0.004706573,0.002678254,0.3240186],"study_design_scores_gemma":[0.0002322692,0.002440154,0.9002823,0.0004348333,0.0006367353,0.001100025,0.01582822,0.03547168,0.01060034,0.009126212,0.02361366,0.000233746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762694,0.0004692661,0.01360243,0.0006136129,0.00002537291,0.0002042629,0.00009743289,0.0002063154,0.008511916],"genre_scores_gemma":[0.9861196,0.00009601429,0.0120357,0.00009279182,0.00001512865,0.0001167377,0.0001506875,0.00009413773,0.001279124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02020631,"threshold_uncertainty_score":0.1068624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247675207247341,"score_gpt":0.246427311230669,"score_spread":0.2339505591581956,"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."}}