{"id":"W6920212497","doi":"10.6068/dp17512dbbe364","title":"TREND: Stevens Analytics. Continuous Futures: Future Daily Settle Price | Symbol: -- | Exchange: All Exchanges | Symbol: ED, 02/01/1982 - 10/01/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 095-001-003","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Closing (real estate); Order (exchange); Spread trade; Forward contract; Forward market; Publishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314828,0.002153872,0.001232657,0.003225828,0.000721864,0.003804174,0.003145112,0.001653772,0.1829436],"category_scores_gemma":[0.009553469,0.0008656862,0.001155773,0.006410426,0.0004058387,0.003485656,0.00277174,0.002451055,0.3089179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111702,"about_ca_system_score_gemma":0.00184548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660429,"about_ca_topic_score_gemma":0.03079034,"domain_scores_codex":[0.9987659,0.0001288674,0.0001621339,0.0003888604,0.0003747967,0.0001793709],"domain_scores_gemma":[0.9963524,0.0006135322,0.0003692108,0.00101995,0.001294321,0.0003505835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001675532,0.000007249736,0.0003740498,0.0001364791,0.000007531341,0.00000616222,0.00001099119,0.00006329702,0.00004136068,0.0003202316,0.99749,0.001525837],"study_design_scores_gemma":[0.0001104141,0.00001416151,0.002541433,0.0002523033,0.00001627998,0.00002622667,0.00009237495,0.0005244622,0.0003098238,0.002114767,0.9939598,0.00003789553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007593529,0.00002596162,0.0001298709,0.00009695651,0.00004934888,0.00001479133,0.9969169,0.001348853,0.00134136],"genre_scores_gemma":[0.0003128174,0.00003757277,0.000485667,0.0000720345,0.0000207566,0.00007643938,0.9974399,0.0003380257,0.001216752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1829436,"threshold_uncertainty_score":0.6120074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044681227092422,"score_gpt":0.2751493626757893,"score_spread":0.244702550404865,"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."}}