{"id":"W4313458650","doi":"10.34133/icomputing.0006","title":"Intelligent Computing: The Latest Advances, Challenges, and Future","year":2023,"lang":"en","type":"article","venue":"Intelligent Computing","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognitive computing; Computer science; End-user computing; Big data; Data science; Intelligent decision support system; Marketing and artificial intelligence; Scope (computer science); Autonomic computing; Human intelligence; Soft computing; Affective computing; Computational intelligence; Cloud computing; Artificial intelligence; Utility computing; Cognition; Artificial neural network; Cloud computing security","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":[0.005210428,0.0008882449,0.001339456,0.002902109,0.00165655,0.008011042,0.002060222,0.003560722,0.00632405],"category_scores_gemma":[0.007335667,0.0004928401,0.0006394705,0.004658989,0.004790998,0.01803101,0.002733096,0.005366108,0.002666446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643318,"about_ca_system_score_gemma":0.003006702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033046,"about_ca_topic_score_gemma":0.001847751,"domain_scores_codex":[0.9971426,0.0008365214,0.0002277031,0.0002834608,0.001270153,0.0002394892],"domain_scores_gemma":[0.9918095,0.005367846,0.0002858012,0.0004682832,0.001530111,0.00053853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091403,0.0001159502,0.001235494,0.004283838,0.00005512259,0.0001899794,0.001104057,0.001029049,0.001096369,0.1746093,0.07283112,0.7433406],"study_design_scores_gemma":[0.00001457655,0.00007730151,0.000721148,0.004211127,0.00003967095,0.0005487812,0.001654587,0.002054652,0.0004534224,0.1590542,0.8311034,0.00006726103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001613029,0.9306117,0.008511432,0.04233314,0.003122123,0.00002149757,0.00006169542,0.000142845,0.01358254],"genre_scores_gemma":[0.01806239,0.9553227,0.009624361,0.005999974,0.00718978,0.00004171187,0.0001077122,0.00005729757,0.003594139],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008011042,"threshold_uncertainty_score":0.0275557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612038669627207,"score_gpt":0.2695648683049892,"score_spread":0.2334444816087171,"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."}}