{"id":"W2770177099","doi":"10.3390/info8040156","title":"The Emperor of Strong AI Has No Clothes: Limits to Artificial Intelligence","year":2017,"lang":"en","type":"article","venue":"Information","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pleasure; Premise; Telos; Artificial general intelligence; Symbolic artificial intelligence; Human intelligence; Singularity; Epistemology; Curiosity; Intuition; Morality; Psychology; Artificial intelligence; Sociology; Aesthetics; Computer science; Social psychology; Philosophy; Mathematics; Artificial Intelligence System","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001826181,0.00005831896,0.00005485755,0.00004234265,0.0007172741,0.0003912816,0.000317085,0.00003117189,0.0000138702],"category_scores_gemma":[0.001525661,0.00004235891,0.00002844557,0.00004507067,0.0001131843,0.001329595,0.00004565575,0.00007717033,0.001046371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001459666,"about_ca_system_score_gemma":0.00003135458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002030331,"about_ca_topic_score_gemma":0.00002024445,"domain_scores_codex":[0.9993283,0.00001748742,0.0002556186,0.00006464461,0.0001979945,0.0001359328],"domain_scores_gemma":[0.999301,0.00008197941,0.0001838317,0.0002811038,0.0001163336,0.00003580367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001259097,0.00002262811,0.00002663427,0.00002086093,0.000002374125,3.883318e-7,0.003348749,0.0002405032,0.006686134,0.4336576,0.0007195331,0.5551487],"study_design_scores_gemma":[0.0001095636,0.0002714409,0.0007242358,0.00008648716,0.000009396346,0.000004852637,0.001176861,0.01325192,0.8589581,0.09764471,0.02754638,0.0002160423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2116314,0.00001023853,0.03764684,0.01363286,0.003381131,0.001384688,0.00009260125,0.0002120961,0.7320081],"genre_scores_gemma":[0.9991383,0.00001193142,0.00009299659,0.0006216067,0.00006907317,0.00001404225,0.000002037417,0.000002795073,0.00004720616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.852272,"threshold_uncertainty_score":0.9997314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148464618980613,"score_gpt":0.3315875609031664,"score_spread":0.2167410990051052,"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."}}