{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005328441,0.000103045,0.0001318101,0.0002168108,0.0004818417,0.0001079139,0.0007820136,0.00006033858,0.000339808],"category_scores_gemma":[0.0009979116,0.00007593438,0.0001377378,0.0006263916,0.00006277861,0.0002922527,0.00008806483,0.001103347,0.0002256723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111092,"about_ca_system_score_gemma":0.0006727432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004496305,"about_ca_topic_score_gemma":0.0002331643,"domain_scores_codex":[0.9972898,0.0000674352,0.0005170527,0.0002279068,0.0005152298,0.001382542],"domain_scores_gemma":[0.9987856,0.0002154702,0.0003167366,0.000336891,0.0002527098,0.00009258158],"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":[0.000009798835,0.00004548538,0.004806628,2.378484e-7,0.00001705642,0.000001679974,0.0003149105,0.00001761337,0.00003868367,0.8408757,0.001129329,0.1527429],"study_design_scores_gemma":[0.0000978242,0.0001271742,0.0005279438,0.000005375912,0.000009484943,0.0006074504,0.0009393818,0.003978372,0.00006384899,0.9888185,0.004727542,0.00009712026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1548467,0.0003672789,0.7507042,0.0006715475,0.0002570616,0.0001829934,0.000003370551,0.0001460102,0.09282079],"genre_scores_gemma":[0.9864923,0.00007721492,0.008872598,0.00005498411,0.0001426091,0.00000997143,8.165359e-7,0.00001401026,0.004335465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8316456,"threshold_uncertainty_score":0.4793557,"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."}}