{"id":"W4391505669","doi":"10.54254/2755-2721/33/20230273","title":"Human-centric artificial intelligence","year":2024,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Sociology and Cultural Identity Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Productivity; Computer science; Automation; Human intelligence; Deep learning; Artificial general intelligence; Independence (probability theory); Robot; Data science; 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":[0.002031162,0.0004984002,0.0003523346,0.0008708976,0.001173711,0.006683528,0.0008006239,0.001999395,0.005257679],"category_scores_gemma":[0.00423036,0.0002008729,0.0003881436,0.0009405714,0.009090782,0.004540378,0.001903685,0.002716137,0.001474701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949298,"about_ca_system_score_gemma":0.002316731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258877,"about_ca_topic_score_gemma":0.001544701,"domain_scores_codex":[0.9981195,0.0009333813,0.00006385161,0.000209337,0.000546194,0.0001277146],"domain_scores_gemma":[0.9977478,0.001268332,0.000153434,0.0004069386,0.0002582662,0.0001652297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001135656,0.00002019604,0.0003267203,0.0001514485,0.00001818851,0.00004735303,0.0009075587,0.0008148864,0.0001895796,0.9117062,0.05535148,0.03045497],"study_design_scores_gemma":[0.000006005172,0.00002672387,0.0005298507,0.0002143539,0.000008347229,0.00009744126,0.0006332083,0.001264131,0.0002503856,0.4772888,0.519672,0.000008766904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009407704,0.05128172,0.04555907,0.1241067,0.00830768,0.00008183783,0.0001556627,0.0002637601,0.7608358],"genre_scores_gemma":[0.6359696,0.04713742,0.02680138,0.03360344,0.01062308,0.000244084,0.000375092,0.0002571977,0.2449887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.006683528,"threshold_uncertainty_score":0.02139872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029036051864406,"score_gpt":0.3037811083363511,"score_spread":0.273490747817707,"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."}}