{"id":"W3170447322","doi":"10.1109/mts.2021.3077052","title":"AI vs “AI”: Synthetic Minds or Speech Acts","year":2021,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Center (category theory); Coronavirus disease 2019 (COVID-19); Pandemic; Investment (military); Public relations; Control (management); Psychology; Computer science; Artificial intelligence; Political science; Law; Politics; Chemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002302702,0.0006485574,0.0003468997,0.001205958,0.001288076,0.008019073,0.0009211365,0.002530685,0.01155188],"category_scores_gemma":[0.01018328,0.0002419757,0.0003647835,0.0008299486,0.01181476,0.009242823,0.00231554,0.002261149,0.002157836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009364898,"about_ca_system_score_gemma":0.0005031041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009690541,"about_ca_topic_score_gemma":0.0004673082,"domain_scores_codex":[0.997233,0.001898981,0.0001542548,0.0002763793,0.0002918417,0.0001455099],"domain_scores_gemma":[0.9950581,0.003399988,0.000435395,0.0005829544,0.0002748533,0.0002488479],"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":[0.00009821372,0.00001409204,0.0007782824,0.0002496828,0.00001589732,0.0001594634,0.01404651,0.0004354272,0.001004656,0.955615,0.007248843,0.02033398],"study_design_scores_gemma":[0.00002813861,0.00008877353,0.001888045,0.0003898455,0.00002102348,0.0009358277,0.02294614,0.005632523,0.00150096,0.8000603,0.1664436,0.00006486304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.07758727,0.01317601,0.1941286,0.03942822,0.002558222,0.000167294,0.0009301787,0.001214589,0.6708097],"genre_scores_gemma":[0.9515038,0.002430354,0.02132311,0.003854253,0.0007057739,0.0001989715,0.0003618896,0.0002272261,0.01939462],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01155188,"threshold_uncertainty_score":0.03864491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066846781218676,"score_gpt":0.2330297313022298,"score_spread":0.222361263490043,"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."}}