{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005925118,0.0001590324,0.0001960458,0.00006888519,0.00007082289,0.00004600433,0.0001298057,0.0005499456,0.0001757279],"category_scores_gemma":[0.00002480309,0.0001525196,0.00006804794,0.0005787731,0.0001956788,0.0002298146,0.00002735373,0.000559311,0.0001681906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003576545,"about_ca_system_score_gemma":0.00003721279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.509604e-7,"about_ca_topic_score_gemma":0.000002843182,"domain_scores_codex":[0.9992458,0.00000547047,0.0001988269,0.00017536,0.00009884109,0.000275685],"domain_scores_gemma":[0.9995822,0.00003624465,0.0000154043,0.0002502116,0.0000622442,0.0000536744],"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":[0.00007427937,0.000487217,0.002413791,0.002150976,0.001295923,0.001049986,0.002885081,0.002435901,0.1047884,0.03507821,0.6695319,0.1778084],"study_design_scores_gemma":[0.00197463,0.0001786229,0.0006614243,0.0002896082,0.0001156889,0.002148005,0.001918581,0.007154553,0.4450293,0.007702551,0.5317692,0.001057859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8623964,0.001044324,0.01300697,0.02161622,0.001816339,0.000407711,0.0001050601,0.004357047,0.09524993],"genre_scores_gemma":[0.9929139,0.0003151015,0.001739107,0.0007490185,0.00005421737,0.00002127924,0.000009803837,0.00003080646,0.004166755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3402409,"threshold_uncertainty_score":0.6219568,"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."}}