{"id":"W3042683922","doi":"10.1080/01621459.2022.2096619","title":"Hypothesis Tests for Structured Rank Correlation Matrices","year":2022,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données","keywords":"Rank (graph theory); Dimension (graph theory); Sample size determination; Mathematics; Statistical hypothesis testing; Partial correlation; Matrix (chemical analysis); Sample (material); Statistics; Covariance matrix; Design matrix; Correlation; Computer science; Algorithm; Linear model; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03625506,0.001500301,0.001945581,0.003437207,0.001098573,0.002686015,0.002997427,0.00176311,0.01065909],"category_scores_gemma":[0.2847481,0.0007932112,0.002085877,0.003353615,0.004717167,0.005231603,0.002692797,0.003478128,0.001621468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044562,"about_ca_system_score_gemma":0.002595962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007257713,"about_ca_topic_score_gemma":0.0006283871,"domain_scores_codex":[0.9496846,0.03739772,0.00176341,0.005547784,0.004689471,0.0009170744],"domain_scores_gemma":[0.5718101,0.3926862,0.01118994,0.01687719,0.006194595,0.001241908],"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":[0.001569197,0.0005215565,0.03428053,0.001288741,0.00212784,0.001297499,0.0008047292,0.2501204,0.005288383,0.4288594,0.01188316,0.2619586],"study_design_scores_gemma":[0.0003832286,0.0007755996,0.008135666,0.000148264,0.0001347918,0.0003367517,0.0002471312,0.7076393,0.003255035,0.2762029,0.002641361,0.00009993474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04319257,0.0002183504,0.9514177,0.0003672036,0.00008331415,0.0004518535,0.001056404,0.0007707636,0.002441813],"genre_scores_gemma":[0.6329553,0.0002331146,0.3593862,0.000357174,0.0002467987,0.002808642,0.002500839,0.0002487956,0.001263078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03625506,"threshold_uncertainty_score":0.1917374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009740699280160262,"score_gpt":0.24569690350529,"score_spread":0.2359562042251298,"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."}}