{"id":"W3145418495","doi":"10.29242/rli.299","title":"Ethics of Artificial Intelligence","year":2019,"lang":"en","type":"paratext","venue":"Research Library Issues","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Vector Institute","funders":"","keywords":"Artificial intelligence; Computer science","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":["sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.007405161,0.0002168851,0.0005768808,0.000482959,0.0009740507,0.0008352483,0.001735729,0.001975333,0.01826156],"category_scores_gemma":[0.005379474,0.0002129505,0.0002002633,0.001145659,0.002784576,0.001289228,0.0005317595,0.005168992,0.01339717],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000070492,"about_ca_system_score_gemma":0.006258592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007365583,"about_ca_topic_score_gemma":0.0003431968,"domain_scores_codex":[0.9913173,0.003689072,0.000522949,0.0004580456,0.003037177,0.0009754756],"domain_scores_gemma":[0.9930934,0.004832052,0.00019863,0.0005370773,0.001009127,0.000329742],"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":[0.00002849014,0.00007627497,0.000009918423,0.0003216356,0.00004154227,0.000004857493,0.04009264,0.000007714908,0.00003488249,0.4227055,0.5326566,0.004019993],"study_design_scores_gemma":[0.00001307435,0.0001442908,0.000003715588,0.0004175137,0.000003989764,5.390045e-8,0.01303619,0.000007483015,0.001649852,0.1222402,0.86228,0.0002035773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003857181,0.009151532,0.00003166417,0.09149166,0.002170063,0.0006724071,0.0001826975,0.00005336603,0.8958609],"genre_scores_gemma":[0.03160739,0.09835257,0.0005191796,0.0004105817,0.004283781,0.0000153437,0.0001593248,0.00008600124,0.8645658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3296235,"threshold_uncertainty_score":0.9999292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.38565561199329,"score_gpt":0.5654874782234174,"score_spread":0.1798318662301274,"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."}}