{"id":"W7161656526","doi":"","title":"The Future OF Machine Learning: Supervised, Unsupervised AND Reinforcement Learning","year":2020,"lang":"en","type":"other","venue":"Neliti","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reinforcement learning; Premise; Field (mathematics); Unsupervised learning; Learning classifier system; Active learning (machine learning); Robot learning; Online machine learning","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003771276,0.0005610043,0.000665664,0.0001851077,0.0002525431,0.00009237962,0.000484458,0.0003812924,0.004649404],"category_scores_gemma":[0.0001639875,0.0004122886,0.0001788766,0.0003425098,0.0002360265,0.00004862953,0.000305606,0.00133968,0.0009523478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005427029,"about_ca_system_score_gemma":0.00009577523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005151379,"about_ca_topic_score_gemma":0.0001876537,"domain_scores_codex":[0.9973933,0.0003643782,0.000482001,0.0005547066,0.0006924397,0.0005131614],"domain_scores_gemma":[0.9986318,0.0001447494,0.000426946,0.0005050224,0.00006798385,0.0002234642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006368254,0.00006617725,0.005286179,0.001580442,0.00115757,0.00007460873,0.003769777,0.001268658,0.00289777,0.007103303,0.9264619,0.04969674],"study_design_scores_gemma":[0.001238088,0.0002296898,0.0001101466,0.0002151773,0.0001109364,0.000008011912,0.0008731319,0.004472478,0.00005638215,0.00002548879,0.9922611,0.0003993986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004441106,0.05681323,0.0000618413,0.00133022,0.0005698068,0.00122584,0.000169824,0.0010752,0.9383099],"genre_scores_gemma":[0.02588651,0.01164933,0.0003103216,0.0002822901,0.00245911,0.00006307485,0.0008911513,0.002771522,0.9556867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06579912,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213592905841452,"score_gpt":0.2293610718668723,"score_spread":0.2172251428084578,"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."}}