{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009464713,0.00004126546,0.00004595898,0.0000313668,0.0002772637,0.00006924181,0.00003565553,0.00003133609,0.00003207863],"category_scores_gemma":[0.00001212637,0.00004025631,0.00001569084,0.0001261138,0.0000662672,0.00004581229,0.00001560129,0.00006752148,0.00003678429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001772069,"about_ca_system_score_gemma":0.00001217955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003547253,"about_ca_topic_score_gemma":0.00000995175,"domain_scores_codex":[0.999663,0.00000500275,0.0000663464,0.00009292801,0.00008023723,0.00009250124],"domain_scores_gemma":[0.9998625,0.00008099424,0.000005507462,0.0000129296,0.00001348445,0.00002456558],"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":[2.912113e-7,0.000003090896,0.0000119684,0.000008539758,0.0000158263,0.000001618022,0.002853899,0.009149624,0.0000578812,0.9809711,0.0001171699,0.006808967],"study_design_scores_gemma":[0.00005137326,0.00001793347,0.008213382,0.00004899394,0.00004138368,0.000004041042,0.0105838,0.03870164,0.0000691179,0.9221266,0.01973329,0.0004084249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808333,0.006468089,0.1494319,0.004678031,0.001639784,0.0004097929,0.000006218164,0.001203392,0.02782987],"genre_scores_gemma":[0.9991561,0.00002815491,0.0004489528,0.00003401785,0.0002184201,0.000008542987,0.000003081217,0.000002736687,0.00009997534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1908232,"threshold_uncertainty_score":0.2132517,"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."}}