{"id":"W4285180969","doi":"10.2139/ssrn.4109366","title":"A Class of Correlation Matrices","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Mathematical Theories and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Class (philosophy); Mathematics; Correlation; Statistics; Computer science; Artificial intelligence; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008616232,0.001124311,0.000955997,0.002456648,0.001713308,0.003381068,0.001187513,0.002070946,0.01123904],"category_scores_gemma":[0.005370196,0.000505805,0.000815319,0.001767385,0.00167726,0.00243668,0.001371824,0.001849234,0.002211469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006438826,"about_ca_system_score_gemma":0.001146025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008080601,"about_ca_topic_score_gemma":0.000606564,"domain_scores_codex":[0.9988346,0.0002906448,0.00004182306,0.0003157978,0.0003143579,0.000202836],"domain_scores_gemma":[0.9966344,0.00108387,0.0006109003,0.0006650751,0.0006004206,0.0004052771],"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":[0.00002686463,0.00002242159,0.000259398,0.00003479042,0.00001572299,0.0001067155,0.00005891616,0.0007616204,0.001326891,0.9872777,0.003822443,0.006286449],"study_design_scores_gemma":[0.00003129114,0.00003363939,0.0005839654,0.00002148667,0.00001310282,0.000631363,0.00004079055,0.02049511,0.0009764615,0.9686692,0.008468566,0.00003503071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2487096,0.003043813,0.564502,0.00330696,0.001268595,0.0003084944,0.00198331,0.00165627,0.175221],"genre_scores_gemma":[0.9108545,0.001261223,0.03301806,0.001884588,0.001272709,0.0003041618,0.001280971,0.0002789229,0.04984492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01123904,"threshold_uncertainty_score":0.03759837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004635474866913012,"score_gpt":0.2438722230328873,"score_spread":0.2392367481659743,"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."}}