{"id":"W2600194131","doi":"10.1080/10485252.2017.1306627","title":"Interval-wise testing for functional data","year":2017,"lang":"en","type":"article","venue":"Journal of nonparametric statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Statistics; Interval (graph theory); Type I and type II errors; Null hypothesis; p-value; Statistical hypothesis testing; Interval estimation; Functional data analysis; Confidence interval; Algorithm; Combinatorics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002100045,0.0001562292,0.0004769646,0.0002057309,0.0003051781,0.0002471176,0.001062929,0.00007124085,0.0001070516],"category_scores_gemma":[0.2450211,0.0001241632,0.00006493192,0.0001618278,0.0001466347,0.0002400705,0.0002562562,0.0002969215,0.000006988275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005429939,"about_ca_system_score_gemma":0.0002068464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000117662,"about_ca_topic_score_gemma":0.00000277626,"domain_scores_codex":[0.9981402,0.00007560312,0.000865026,0.0001993302,0.0004682575,0.0002515501],"domain_scores_gemma":[0.9764157,0.0197053,0.001651924,0.0008603429,0.001199721,0.0001670344],"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":[0.0002215063,0.0003546596,0.008187386,0.000290187,0.0002283413,0.00008614586,0.00005022554,0.00001004412,0.0001215004,0.2513477,0.1488699,0.5902324],"study_design_scores_gemma":[0.001372792,0.0008827148,0.0421066,0.0001815357,0.0003554376,0.0001708224,0.00004984808,0.04019106,0.0000649853,0.9112189,0.003155863,0.0002493737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003600505,0.00005790174,0.9928838,0.0001257431,0.001186171,0.0001446905,0.001166602,0.000009231248,0.0008253393],"genre_scores_gemma":[0.05474207,0.00001235661,0.9444528,0.00005349745,0.0005313564,0.000002991809,0.000008933545,0.00002434944,0.0001716391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6598713,"threshold_uncertainty_score":0.7613384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5100573041093075,"score_gpt":0.4730258073037464,"score_spread":0.03703149680556111,"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."}}