{"id":"W4236771096","doi":"10.2139/ssrn.2710353","title":"Correlation Fix","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Correlation; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007255414,0.00008126529,0.00007201082,0.0001291282,0.000116023,0.00005572381,0.0005209674,0.00004256113,0.00001792212],"category_scores_gemma":[0.0001068175,0.00005361437,0.000048529,0.0002005587,0.00002224791,0.0005381695,0.00005433258,0.0003387414,0.00007033636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263522,"about_ca_system_score_gemma":0.0006034664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002376388,"about_ca_topic_score_gemma":0.000007480334,"domain_scores_codex":[0.9984008,0.0000396695,0.0001738108,0.0001567556,0.0002123426,0.001016611],"domain_scores_gemma":[0.9994572,0.00006451345,0.0001188555,0.0002116844,0.00009285579,0.0000548787],"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":[0.00000235139,0.00001045884,0.0002862058,2.285419e-7,0.00001042419,6.852607e-7,0.00003219097,0.00004890187,0.0001485519,0.9170959,0.0001863875,0.08217774],"study_design_scores_gemma":[0.0003831316,0.0002215238,0.0002731403,0.00002017448,0.000004415339,0.0004577283,0.00001927669,0.00903613,0.0003236916,0.9883631,0.0007681602,0.0001295665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000796684,0.0001956736,0.9955356,0.002039533,0.0002731975,0.00006214684,2.219847e-7,0.0001831255,0.0009138617],"genre_scores_gemma":[0.97659,0.0005805485,0.02013177,0.0001054554,0.0001137823,0.000005846169,3.234165e-7,0.00001087686,0.002461361],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9757934,"threshold_uncertainty_score":0.2186331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006442820302268904,"score_gpt":0.2186148889978625,"score_spread":0.2121720686955936,"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."}}