{"id":"W6979348753","doi":"","title":"DEEPEAST technique to enhance power in two-sample tests via the same-attraction function","year":2024,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mahalanobis distance; Nonparametric statistics; Statistic; Test statistic; Statistical hypothesis testing; Statistical power; Homogeneity (statistics); Resampling; Estimator","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.007541578,0.001080681,0.001291296,0.002140693,0.0006655424,0.001137988,0.001487991,0.001089322,0.00437286],"category_scores_gemma":[0.03888175,0.0004594261,0.00106209,0.001813569,0.0018161,0.003073073,0.003366344,0.002063813,0.0007353023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118857,"about_ca_system_score_gemma":0.001792102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110485,"about_ca_topic_score_gemma":0.001358637,"domain_scores_codex":[0.9961168,0.002051167,0.0002292483,0.000419548,0.000995493,0.0001877285],"domain_scores_gemma":[0.976261,0.01821878,0.001192259,0.001928575,0.001954623,0.0004446865],"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":[0.0008991027,0.0003060182,0.01001707,0.000669111,0.0002090292,0.0005080856,0.0007692385,0.1090305,0.04243163,0.1121061,0.002877864,0.7201763],"study_design_scores_gemma":[0.0001784427,0.001196516,0.006134012,0.00007225492,0.0001062532,0.0005351915,0.0001817851,0.873578,0.02659205,0.08458305,0.006725737,0.0001166706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02090773,0.0001751081,0.9772081,0.0001130851,0.00002663748,0.0001181082,0.00006848529,0.0004170452,0.0009655777],"genre_scores_gemma":[0.2858397,0.0002363463,0.7112313,0.0002476468,0.00006732684,0.0004700059,0.0002179676,0.0002108697,0.001478905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007541578,"threshold_uncertainty_score":0.03988415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706995453294863,"score_gpt":0.2348289462844238,"score_spread":0.2077589917514751,"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."}}