{"id":"W4404991750","doi":"10.1016/j.matt.2024.11.001","title":"There’s no “next stop,” only “full STEAM” ahead for humankind’s AI future!","year":2024,"lang":"en","type":"article","venue":"Matter","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aeronautics; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001431402,0.0001232819,0.0001096929,0.00008885509,0.00009530694,0.000159781,0.000202175,0.00007103736,0.02397195],"category_scores_gemma":[0.000008666904,0.0001039411,0.00008256285,0.0001184281,0.00006663024,0.0001228595,0.00002561741,0.0001710324,0.01865847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003019224,"about_ca_system_score_gemma":0.00004548677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002078957,"about_ca_topic_score_gemma":0.00002069615,"domain_scores_codex":[0.9990535,0.00005278454,0.0001422394,0.0003736247,0.0001141339,0.0002636888],"domain_scores_gemma":[0.9994236,0.0001167813,0.00002498184,0.0003468026,0.00003491688,0.00005296721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003313977,0.0001661981,0.001539584,0.00004750943,0.00001563398,0.00000799031,0.003262958,2.397072e-7,0.003049401,0.008803659,0.9724663,0.0106074],"study_design_scores_gemma":[0.0001637322,0.0001021474,0.02387062,0.0000192453,0.00001287011,0.00003222283,0.0004777874,0.00002018976,0.0001537364,0.0004787346,0.9745287,0.0001400183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7519085,0.0007640298,0.001188069,0.05748415,0.02337759,0.0007156905,0.00008208695,0.0002803425,0.1641995],"genre_scores_gemma":[0.7637998,0.000006194293,0.00008943545,0.0232204,0.001689924,0.0001369471,0.00001181032,0.00004019534,0.2110052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04680571,"threshold_uncertainty_score":0.9821056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645097231396333,"score_gpt":0.3750908609830191,"score_spread":0.3386398886690558,"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."}}