{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002370175,0.00007965358,0.0001572212,0.0001619483,0.00006254337,0.00002317216,0.0005587469,0.00003637093,0.00001325824],"category_scores_gemma":[0.0001283773,0.00007719039,0.00002084228,0.001660937,0.00004463295,0.0004238794,0.0004129567,0.0002041875,0.00004949007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417356,"about_ca_system_score_gemma":0.00003520529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001813453,"about_ca_topic_score_gemma":0.000001447032,"domain_scores_codex":[0.9991474,0.00004690551,0.0002214814,0.0001975032,0.0002206432,0.0001660455],"domain_scores_gemma":[0.9993013,0.00007389944,0.0001204631,0.0003144935,0.0001703317,0.00001953355],"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":[0.00001624381,0.0001298308,0.06366755,0.00005883132,0.00005491907,0.0000166032,0.004060286,0.01074687,0.006363255,0.3321471,0.03068309,0.5520554],"study_design_scores_gemma":[0.00102232,0.0007178551,0.02392168,0.0002618848,0.00001112465,0.000004217208,0.0005785809,0.5647115,0.1698475,0.05218625,0.1858727,0.0008643713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003574693,0.00001635137,0.990759,0.002519211,0.0002335136,0.0001076491,9.641205e-7,0.000478911,0.002309731],"genre_scores_gemma":[0.9323909,0.000003433444,0.06638326,0.0009166985,0.0000433753,0.00001429031,0.000005645921,0.000008486556,0.0002339006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9288162,"threshold_uncertainty_score":0.3147733,"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."}}