{"id":"W2963861892","doi":"10.1002/cjs.11287","title":"Symmetric Gini covariance and correlation","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariance; Correlation; Statistics; Mathematics; Covariance and correlation; Econometrics; Statistical physics; Physics; Random variable; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01002771,0.0007516196,0.001702238,0.003364067,0.0009423147,0.003009342,0.001596749,0.001258736,0.004776604],"category_scores_gemma":[0.07178896,0.000421546,0.001004782,0.003304914,0.003453275,0.003119191,0.002193818,0.001541156,0.0008411595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002727007,"about_ca_system_score_gemma":0.002075804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004283562,"about_ca_topic_score_gemma":0.002760044,"domain_scores_codex":[0.9926882,0.003152621,0.0003384778,0.001598305,0.00168515,0.000537359],"domain_scores_gemma":[0.9629065,0.02172898,0.004937832,0.004933568,0.004702172,0.0007909269],"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":[0.00006683885,0.00002953787,0.02443417,0.0001534128,0.0002588316,0.0001756802,0.0003704711,0.0815677,0.0009273466,0.8385486,0.007760255,0.04570726],"study_design_scores_gemma":[0.00001519596,0.00004096123,0.01462408,0.00006390995,0.00005856095,0.000301454,0.0001192462,0.2626017,0.001110542,0.7128815,0.008106938,0.00007594657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08449794,0.0009476297,0.8969846,0.00107125,0.0001549794,0.000174635,0.001227238,0.0004034023,0.0145384],"genre_scores_gemma":[0.9098867,0.0006018903,0.08226947,0.0002993629,0.0001956017,0.0003145785,0.001102395,0.0002394937,0.005090516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01002771,"threshold_uncertainty_score":0.05303228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08451659674766271,"score_gpt":0.3463208001314209,"score_spread":0.2618042033837581,"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."}}