{"id":"W7067795028","doi":"","title":"NuEnergy.ai helps companies determine trustworthiness of AI technology","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trustworthiness; Measure (data warehouse); Key (lock); Business intelligence; Applications of artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463147,0.0004757813,0.0002357329,0.002073271,0.001857186,0.005395575,0.0005582279,0.001680721,0.292505],"category_scores_gemma":[0.008502286,0.0003552518,0.0001800889,0.001400803,0.0008539117,0.00423832,0.001680426,0.001302087,0.132238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373449,"about_ca_system_score_gemma":0.001283269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394223,"about_ca_topic_score_gemma":0.04542791,"domain_scores_codex":[0.9985941,0.0002846406,0.00005438516,0.0001161247,0.0008411101,0.0001096174],"domain_scores_gemma":[0.9941859,0.001979863,0.0003729219,0.000756113,0.001961134,0.0007439737],"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":[0.00005449637,0.00002942279,0.001259179,0.0001007401,0.000003698744,0.00005326367,0.0003331527,0.00006706225,0.0004196346,0.009971136,0.8700254,0.1176829],"study_design_scores_gemma":[0.000007458254,0.00001284229,0.001546761,0.00007481909,0.000003590299,0.00004389286,0.0002989115,0.000257998,0.0005227313,0.003613841,0.9936055,0.00001160059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00119893,0.0007735944,0.001948408,0.007994254,0.0002642732,0.00005953078,0.001721921,0.002827805,0.9832113],"genre_scores_gemma":[0.03041485,0.001555015,0.006343124,0.001739282,0.0001776238,0.00007148035,0.002459161,0.002117519,0.9551221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.292505,"threshold_uncertainty_score":0.9785268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006498387829624803,"score_gpt":0.202782009599668,"score_spread":0.1962836217700432,"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."}}