{"id":"W3046075819","doi":"10.5539/ijsp.v9n5p40","title":"Estimating Smooth and Convex Functions","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Bandit Algorithms Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Differentiable function; Estimator; Convex function; Regular polygon; Function (biology); Combinatorics; Applied mathematics; Convex combination; Convex optimization; Mathematical optimization; Mathematical analysis; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001253652,0.00006534,0.000171907,0.00007524106,0.00006956814,0.0002349073,0.0002744075,0.00002345282,0.0002144661],"category_scores_gemma":[0.01001303,0.00004714605,0.0000263028,0.0001095413,0.0002005265,0.0002550911,0.0001322849,0.0002006917,0.000007916704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000271972,"about_ca_system_score_gemma":0.00008916654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006496638,"about_ca_topic_score_gemma":0.000004374672,"domain_scores_codex":[0.9980366,0.0000839284,0.0005571162,0.0001728599,0.001061748,0.00008771882],"domain_scores_gemma":[0.9965065,0.001416352,0.0003020439,0.0000698064,0.001524526,0.0001807548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003890966,0.0001060116,0.04974816,0.00002956431,0.00012084,0.0001313672,0.001572466,0.005033501,0.000225233,0.008372271,0.008082295,0.9261892],"study_design_scores_gemma":[0.001000355,0.0004444328,0.06283859,0.00002454907,0.00001582852,0.0001399639,0.0003401288,0.2400137,0.00004921892,0.6768062,0.01818838,0.0001387479],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05285773,0.0001082973,0.9414579,0.004772313,0.0004048696,0.00006492547,0.000216516,0.000003964889,0.0001134478],"genre_scores_gemma":[0.7694715,0.00002604659,0.229949,0.0002125388,0.0002860212,0.000001043611,0.000002598086,0.000004423663,0.00004678312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9260504,"threshold_uncertainty_score":0.9983261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116267963172964,"score_gpt":0.4240779841045478,"score_spread":0.3078100209315838,"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."}}