{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821254,0.00008663929,0.0002047626,0.0001760148,0.0000760585,0.00002253101,0.00007734694,0.00004822355,0.0001032305],"category_scores_gemma":[0.005844646,0.00005989627,0.00001857125,0.0001152905,0.0001198286,0.000109538,0.000005434629,0.0001089097,0.000004635793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009221926,"about_ca_system_score_gemma":0.0003443153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009052688,"about_ca_topic_score_gemma":0.0007342518,"domain_scores_codex":[0.9991752,0.00005980997,0.000351173,0.00008476097,0.0001271542,0.0002019122],"domain_scores_gemma":[0.9968751,0.002023865,0.00024132,0.00009000902,0.0002793199,0.0004903875],"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":[0.000007267944,0.000004114397,0.0003836478,0.00001782013,0.00001404139,0.00009898055,0.00007292978,0.00000609442,0.00003059948,0.8636137,0.003900506,0.1318503],"study_design_scores_gemma":[0.0004451742,0.0001188276,0.0016024,0.0001000747,0.00004483908,0.0001348857,0.00002559621,0.0006385385,0.0000199533,0.990302,0.006459768,0.0001080045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009029015,0.0001726386,0.9973501,0.0002925895,0.0003094643,0.00005352942,0.0004010419,0.000003247069,0.0005144654],"genre_scores_gemma":[0.1685154,0.00006822615,0.8308583,0.00006748185,0.00007246945,6.461675e-7,6.673954e-7,0.00001460391,0.00040215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1676125,"threshold_uncertainty_score":0.699701,"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."}}