{"id":"W4362468670","doi":"10.3390/computers12040072","title":"Artificial Intelligence and Knowledge Management: Impacts, Benefits, and Implementation","year":2023,"lang":"en","type":"article","venue":"Computers","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Documentation; Dissemination; Knowledge management; Process (computing); Computer science; Data science","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":[0.01398273,0.0006323538,0.0005335351,0.003330342,0.001666559,0.01448462,0.001463236,0.003642602,0.007724898],"category_scores_gemma":[0.02139584,0.000427088,0.0005178716,0.006295639,0.007740591,0.01268316,0.004682094,0.002791407,0.0008012039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006469292,"about_ca_system_score_gemma":0.0132464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004945303,"about_ca_topic_score_gemma":0.005248584,"domain_scores_codex":[0.9882393,0.006002182,0.0004974862,0.0005794709,0.00409558,0.0005860298],"domain_scores_gemma":[0.9748858,0.01730235,0.001630663,0.001039771,0.00388881,0.001252567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007913523,0.0002452354,0.006770357,0.003368614,0.0001132095,0.0001913328,0.001919162,0.001478367,0.000370021,0.4394923,0.009363639,0.5366086],"study_design_scores_gemma":[0.00006456368,0.0003393427,0.02035055,0.01596309,0.0002090557,0.0004193115,0.01627246,0.003496016,0.001685905,0.5170507,0.4240537,0.0000953048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03217357,0.3275388,0.01417596,0.2151248,0.001517003,0.0003212544,0.000195241,0.0001464434,0.408807],"genre_scores_gemma":[0.6157162,0.3396066,0.02422695,0.009574407,0.001561978,0.0002627746,0.0001309207,0.00004953338,0.008870558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01448462,"threshold_uncertainty_score":0.07394862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09929015019965226,"score_gpt":0.3261512449751767,"score_spread":0.2268610947755245,"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."}}