{"id":"W2034304555","doi":"10.1198/106186001317243412","title":"CriSP: A Tool for Bump Hunting","year":2001,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoothing; Bootstrapping (finance); Test statistic; Mathematics; Resampling; Statistic; Function (biology); Statistics; Statistical hypothesis testing; Algorithm; Computer science; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005235657,0.0001103752,0.0002988362,0.00008449053,0.0001252018,0.00003840647,0.00007054995,0.00004965159,0.00001964987],"category_scores_gemma":[0.002110751,0.00008674691,0.00007585107,0.0001055462,0.00009127793,0.00008725677,0.00001931325,0.0001715705,3.832891e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128918,"about_ca_system_score_gemma":0.00003726948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.862105e-7,"about_ca_topic_score_gemma":0.000001190534,"domain_scores_codex":[0.9987782,0.00005629062,0.0005927456,0.0001087057,0.0002946313,0.0001694823],"domain_scores_gemma":[0.9936892,0.005284603,0.000308444,0.00004307064,0.0005556456,0.000118993],"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":[0.0001366911,0.00009254296,0.000465495,0.00006873807,0.00004721484,0.00002991234,0.00005339304,0.0006651316,0.00002057636,0.9525841,0.001337472,0.04449873],"study_design_scores_gemma":[0.000734527,0.0002628608,0.003140346,0.00003654185,0.00006475831,0.0001686177,0.00002086923,0.02859089,0.000003204685,0.9644016,0.002465567,0.0001102193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02457736,0.00006807331,0.9745168,0.0004364736,0.0001076861,0.0001065556,0.0001344975,0.000007969017,0.00004459209],"genre_scores_gemma":[0.1138642,0.00004681437,0.8856764,0.0001957671,0.000154581,0.000003102599,0.000005466532,0.00001236686,0.000041257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08928688,"threshold_uncertainty_score":0.3537436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07553251069649514,"score_gpt":0.4139923701140274,"score_spread":0.3384598594175323,"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."}}