{"id":"W4380083100","doi":"10.1016/j.techum.2023.05.004","title":"Re-creating the world - On necessary features for the creation of AGI","year":2023,"lang":"en","type":"article","venue":"New Techno Humanities","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Consciousness; Reflexivity; Anthropocentrism; Epistemology; Relevance (law); Cognitive science; Realization (probability); Computer science; Relation (database); Artificial general intelligence; Artificial intelligence; Psychology; Sociology; Philosophy; Environmental ethics; Mathematics; Political science; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003944922,0.0005192551,0.0006462375,0.001146589,0.002435413,0.00720716,0.001418209,0.001852598,0.008101761],"category_scores_gemma":[0.008280016,0.0004534722,0.001112283,0.0007142227,0.01679494,0.01228794,0.006989301,0.005260154,0.002368629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410129,"about_ca_system_score_gemma":0.001616791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004520611,"about_ca_topic_score_gemma":0.000493228,"domain_scores_codex":[0.9977682,0.0008149714,0.0001338514,0.0003968894,0.0006111161,0.0002750248],"domain_scores_gemma":[0.994123,0.001745903,0.0003962109,0.002780492,0.0005353133,0.0004190953],"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":[0.00001127139,0.00001286705,0.0002708187,0.00005569203,0.000006578231,0.0001053419,0.001405413,0.0003247904,0.0006197991,0.9870319,0.0007467486,0.009408771],"study_design_scores_gemma":[0.00001162042,0.00003768646,0.000475639,0.00008578817,0.00001316419,0.0003670885,0.0009289227,0.001907674,0.001974876,0.9300611,0.06411336,0.00002309413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05317648,0.001856174,0.4693156,0.01890066,0.000830063,0.0002658372,0.000157567,0.00173651,0.4537611],"genre_scores_gemma":[0.764573,0.001148932,0.203092,0.001911486,0.0002736417,0.0004767847,0.0001827254,0.0006901055,0.02765136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008101761,"threshold_uncertainty_score":0.02710307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04689459887227994,"score_gpt":0.2927501634708204,"score_spread":0.2458555645985405,"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."}}