{"id":"W4200534387","doi":"10.22214/ijraset.2021.39573","title":"Artificial Intelligence and Threat to Humanity","year":2021,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Global Socioeconomic and Political Dynamics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Declaration; Humanity; Computer science; Economic Justice; Scale (ratio); Collective intelligence; Artificial intelligence; Data science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530937,0.0000506952,0.0001092192,0.0006931956,0.000146492,0.0001747563,0.0003309189,0.00006013166,0.00001220934],"category_scores_gemma":[0.0005833709,0.00005840886,0.00001265275,0.0003830597,0.0002535375,0.00007847157,0.0002260406,0.0002785276,0.00001978466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002549441,"about_ca_system_score_gemma":0.00005342741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600593,"about_ca_topic_score_gemma":0.000009945647,"domain_scores_codex":[0.9991176,0.000001914835,0.0002339494,0.0002270899,0.00007844916,0.0003410021],"domain_scores_gemma":[0.9995733,0.00006842985,0.00002262063,0.00007588135,0.0001524532,0.0001073311],"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":[0.000004978335,0.00001326328,0.0004654617,0.000003234153,0.000004871925,0.00000664244,0.00006438995,0.0002214745,0.0005988759,0.9832172,0.00001645718,0.01538318],"study_design_scores_gemma":[0.00005614864,0.00003417219,0.0009207501,0.00001160869,3.421702e-7,0.00005400792,0.0003370306,0.01591938,0.0009672426,0.9728622,0.008755928,0.00008122594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92988,0.0004049132,0.04699616,0.01650368,0.0007551869,0.0001946854,0.00003791461,0.00002877631,0.005198738],"genre_scores_gemma":[0.9935182,0.0001329342,0.00613614,0.00009668845,0.0000682001,0.00001835831,6.605973e-7,0.000004466027,0.00002431965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06363828,"threshold_uncertainty_score":0.2381844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382817642646505,"score_gpt":0.3793289178601253,"score_spread":0.2410471535954748,"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."}}