{"id":"W4248585143","doi":"10.2139/ssrn.1917208","title":"Forecasting Equicorrelations","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Econometrics; Pairwise comparison; Sample (material); Computer science; Series (stratigraphy); Mathematics; Artificial intelligence","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":[0.0008694835,0.0004213895,0.0004174137,0.001536129,0.0002632102,0.0008626012,0.0004515733,0.0008621193,0.003094899],"category_scores_gemma":[0.005865527,0.000132549,0.0003186293,0.001597612,0.0002042102,0.001217891,0.0003260377,0.0008518087,0.0004199763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008579023,"about_ca_system_score_gemma":0.0003294032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215356,"about_ca_topic_score_gemma":0.01174051,"domain_scores_codex":[0.9997879,0.00004315101,0.00001559616,0.00006218323,0.00005841461,0.00003282925],"domain_scores_gemma":[0.9984463,0.0007668449,0.00020278,0.00008521726,0.0004191805,0.00007965136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005103755,0.0001577053,0.1029516,0.00009612131,0.0001060175,0.0004741377,0.0001298474,0.7437618,0.003143449,0.0111564,0.006511163,0.1310013],"study_design_scores_gemma":[0.00000634277,0.00006251827,0.0104593,0.00001193792,0.00001372687,0.00003582905,0.00006208365,0.9843876,0.0008886811,0.002926038,0.001136958,0.000008927839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404141,0.0006802786,0.04686522,0.0004710256,0.0001984828,0.00004621899,0.0007820362,0.0001668396,0.01037591],"genre_scores_gemma":[0.9923522,0.000200062,0.004097567,0.00002488764,0.00003855504,0.00001146586,0.0005638251,0.00001237854,0.002699125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215356,"threshold_uncertainty_score":0.02416563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2252144026476816,"score_gpt":0.3648302727737345,"score_spread":0.1396158701260529,"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."}}