{"id":"W2140044757","doi":"10.1080/10485250512331342425","title":"On pointwise laws of iterated logarithm for estimators of certain conditional functionals","year":2005,"lang":"en","type":"article","venue":"Journal of nonparametric statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Science Council; Eli Lilly and Company","keywords":"Law of the iterated logarithm; Mathematics; Pointwise; Estimator; Iterated logarithm; Conditional probability distribution; Asymptotic distribution; Nonparametric statistics; Consistency (knowledge bases); Logarithm; Applied mathematics; Statistics; Discrete mathematics; Mathematical analysis","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001023991,0.0001685619,0.0006661011,0.000551855,0.00004115486,0.0000172927,0.0001705221,0.00009800636,0.0005636493],"category_scores_gemma":[0.02350243,0.0001370828,0.0001409877,0.000523357,0.0001481669,0.00007004417,0.00001767146,0.0002200429,0.000004521444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008016182,"about_ca_system_score_gemma":0.0001983543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004781212,"about_ca_topic_score_gemma":0.000001111209,"domain_scores_codex":[0.997542,0.0001313762,0.001376914,0.0001270878,0.0006281245,0.0001945261],"domain_scores_gemma":[0.9789363,0.01776629,0.001414756,0.000149855,0.00160202,0.0001308314],"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":[0.0004057055,0.0007620402,0.0001868555,0.0002230864,0.0001830228,0.00001068744,0.00005595057,0.000821904,0.0001413989,0.9474059,0.01923901,0.03056445],"study_design_scores_gemma":[0.001732891,0.001772862,0.003447906,0.0001577279,0.0002079821,0.00005961918,0.00004155217,0.02886545,0.001582642,0.9613916,0.000579362,0.0001603516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02750892,0.00005964119,0.9694463,0.00009056408,0.0002261781,0.0001817479,0.002219432,0.000005425192,0.000261814],"genre_scores_gemma":[0.2054754,0.00001002277,0.7941974,0.00008369087,0.00009448819,0.000004095481,0.00001771574,0.00001712323,0.0001000275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1779665,"threshold_uncertainty_score":0.984723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09527565560804102,"score_gpt":0.3966819341795095,"score_spread":0.3014062785714685,"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."}}