{"id":"W4230563760","doi":"10.1017/9781108332835.014","title":"Appendix: Order Statistics","year":2020,"lang":"en","type":"other","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Statistics; Order statistic; Order (exchange); Mathematics; Economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002112001,0.0001301181,0.0002199011,0.0001359894,0.00003384996,0.0001180807,0.0007366349,0.0001270805,0.1328368],"category_scores_gemma":[0.0006208261,0.0000881801,0.00003762408,0.0005236538,0.00006024409,0.00001182538,0.0001602108,0.0001233024,0.02625229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006184247,"about_ca_system_score_gemma":0.00004750217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001501988,"about_ca_topic_score_gemma":0.0001592625,"domain_scores_codex":[0.998592,0.00002270567,0.0002728372,0.0003863806,0.0006053026,0.0001207971],"domain_scores_gemma":[0.9988992,0.0001883167,0.0002008204,0.0005634442,0.00006183581,0.00008640531],"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":[3.269635e-7,0.000006000044,0.000009600094,0.000001855403,0.000003463226,0.000001618688,0.000004787982,2.127053e-7,0.000001075373,0.08995382,0.8892453,0.02077189],"study_design_scores_gemma":[0.00002534454,0.00001280962,0.000003186483,0.000007698354,0.000004501123,0.000001360557,0.00001103798,0.0006311861,0.000005782414,0.04099607,0.958189,0.0001120522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.215572e-8,0.00001873805,0.4111739,0.0005012671,0.00005557211,0.0001177449,0.0003059914,0.0003019254,0.5875248],"genre_scores_gemma":[0.00000725159,0.00001225043,0.3355839,0.0003617742,0.0001153562,0.00001236536,0.00006108448,0.0001092013,0.6637368],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1065845,"threshold_uncertainty_score":0.9745059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366499130650013,"score_gpt":0.413880563665666,"score_spread":0.2772306506006648,"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."}}