{"id":"W4407602924","doi":"10.32764/saintekbu.v1i2.83","title":"KOREKSI BIAS ESTIMATOR KERNEL DENGAN BOOTSTRAP","year":2016,"lang":"id","type":"article","venue":"SAINTEKBU","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Statistics; Kernel (algebra); Mathematics; Discrete mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007817164,0.0007716909,0.001537445,0.001542509,0.00075162,0.002216138,0.001625845,0.001010704,0.006036677],"category_scores_gemma":[0.03814687,0.0004459628,0.001355547,0.001908997,0.0009011165,0.002057308,0.001538844,0.001876901,0.002115988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029598,"about_ca_system_score_gemma":0.001604735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004904605,"about_ca_topic_score_gemma":0.003357952,"domain_scores_codex":[0.9946387,0.002817413,0.0002878661,0.0007440695,0.001302054,0.0002099264],"domain_scores_gemma":[0.9883292,0.006997797,0.0005569393,0.001861329,0.002145807,0.0001089499],"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":[0.0004620999,0.0002322556,0.02241851,0.001098757,0.0005763115,0.0003614395,0.0009986395,0.09531703,0.0104783,0.1113824,0.009193663,0.7474806],"study_design_scores_gemma":[0.0001447342,0.0004125523,0.03909775,0.0005123587,0.0003953406,0.0009214351,0.001028038,0.7212168,0.02342329,0.1590189,0.05360876,0.0002200448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02481016,0.001195679,0.9687696,0.0004282038,0.000132029,0.0001058136,0.000276754,0.0005933046,0.003688507],"genre_scores_gemma":[0.4643142,0.002002202,0.517495,0.0003271946,0.0002443834,0.0006363333,0.001278063,0.0006021617,0.01310042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007817164,"threshold_uncertainty_score":0.0413416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04756644896249635,"score_gpt":0.2555181765643019,"score_spread":0.2079517276018056,"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."}}