{"id":"W4390059484","doi":"10.3390/ai5010003","title":"AI Advancements: Comparison of Innovative Techniques","year":2023,"lang":"en","type":"article","venue":"AI","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Transformative learning; Generative grammar; Computer science; Artificial intelligence; Reinforcement learning; Transparency (behavior); Adversarial system; Field (mathematics); Cognitive science; Deep learning; Neuroevolution; Data science; Artificial neural network; Sociology; Psychology","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":[0.008447448,0.0008171565,0.0009595261,0.006445323,0.0008764096,0.005075684,0.001742775,0.001873239,0.006758369],"category_scores_gemma":[0.02521596,0.0003155617,0.001487691,0.004782463,0.002638887,0.005948904,0.003041556,0.002183259,0.001268816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122161,"about_ca_system_score_gemma":0.003914888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001195965,"about_ca_topic_score_gemma":0.001296186,"domain_scores_codex":[0.9936659,0.002230329,0.0005560885,0.0006247106,0.00259227,0.0003307033],"domain_scores_gemma":[0.9818589,0.01377749,0.0009529238,0.0008137702,0.002168604,0.0004283063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000377253,0.0001079432,0.002731571,0.009261373,0.0003702624,0.0001343844,0.001119244,0.004844809,0.0006735399,0.2675707,0.01188216,0.7009268],"study_design_scores_gemma":[0.000146597,0.0007491219,0.008187896,0.01434289,0.0007168235,0.001187204,0.003013772,0.01195512,0.003474265,0.3020983,0.6539603,0.0001677254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01411266,0.8236926,0.04252468,0.01253814,0.001938208,0.0002061517,0.0003408053,0.0002338031,0.1044131],"genre_scores_gemma":[0.2051389,0.7353916,0.0460247,0.002744838,0.001752307,0.000502811,0.0006598061,0.0002169045,0.007568054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008447448,"threshold_uncertainty_score":0.04467493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405040763861786,"score_gpt":0.3753800590950696,"score_spread":0.3513296514564517,"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."}}