{"id":"W3088980575","doi":"10.3138/tjt-2020-0031","title":"Assessing Artificial Intelligence","year":2020,"lang":"en","type":"article","venue":"Toronto Journal of Theology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System","funders":"","keywords":"Agency (philosophy); Transcendental number; Moral agency; Exploit; Symbolic artificial intelligence; Sense of agency; Psychology; Action (physics); Human intelligence; Emotional intelligence; Dimension (graph theory); Artificial intelligence; Social psychology; Epistemology; Computer science; Artificial Intelligence System; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.001521478,0.00005680279,0.0001919621,0.00001325929,0.0002631359,0.0001391625,0.0003443494,0.0001281657,0.001182526],"category_scores_gemma":[0.002564522,0.00004983352,0.00009649111,0.00005400849,0.0003594997,0.0009391304,0.00003344038,0.000254478,0.00001614677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069664,"about_ca_system_score_gemma":0.0003562236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256249,"about_ca_topic_score_gemma":0.002295343,"domain_scores_codex":[0.9987932,0.0003713985,0.0003022001,0.00006751834,0.0002584541,0.0002072603],"domain_scores_gemma":[0.9987941,0.0003129998,0.0002764488,0.00004504573,0.0003471601,0.0002242844],"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":[0.00005393346,0.00003720144,0.000188125,0.000003775954,0.00003886976,0.00003691544,0.06962005,0.00002686028,0.000869062,0.8734197,0.0006356833,0.0550698],"study_design_scores_gemma":[0.0001187084,0.0006454003,0.0006652704,0.00003153378,0.0000607732,0.00001483682,0.09799909,0.0001120875,0.0006660517,0.867862,0.0315885,0.000235716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1941651,0.003283914,0.04298989,0.2867898,0.003382063,0.0001731795,0.000001744107,0.00006267517,0.4691516],"genre_scores_gemma":[0.99453,0.0003139872,0.001334361,0.002097302,0.001659875,1.461006e-7,8.60784e-8,0.000005226991,0.00005905874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8003649,"threshold_uncertainty_score":0.9997305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505112313423497,"score_gpt":0.4393920526220496,"score_spread":0.2888808212796999,"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."}}