{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007405723,0.0005404235,0.0008417924,0.001896273,0.004115947,0.01222787,0.001965814,0.005284361,0.004350913],"category_scores_gemma":[0.01606536,0.0004863822,0.0007439577,0.0008862283,0.06675628,0.02950389,0.007550685,0.01057227,0.001258263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003274434,"about_ca_system_score_gemma":0.001499267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615405,"about_ca_topic_score_gemma":0.001275738,"domain_scores_codex":[0.9955801,0.002327047,0.0001496619,0.0006654192,0.0009878206,0.000289912],"domain_scores_gemma":[0.9811112,0.01468432,0.0005408145,0.002032311,0.001040491,0.000590879],"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":[0.000007366417,0.00000396968,0.00006733429,0.00002884721,0.000004134736,0.00003204339,0.001406674,0.0001516704,0.00004518102,0.9925679,0.002024269,0.003660577],"study_design_scores_gemma":[0.00000333588,0.000003992499,0.00005114201,0.00004368443,0.000001927531,0.00004169109,0.0005152983,0.0003266221,0.00004488684,0.9748891,0.02407227,0.000005971167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02431555,0.03386774,0.08201954,0.3009304,0.002403395,0.00003476362,0.00006991246,0.0003169647,0.5560417],"genre_scores_gemma":[0.9096639,0.01264382,0.02164241,0.02668333,0.002635648,0.0001830159,0.0000427399,0.0002638865,0.02624125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01222787,"threshold_uncertainty_score":0.03916568,"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."}}