{"id":"W4313189062","doi":"10.2139/ssrn.4262351","title":"Assessing the difference between integrated quantiles and integrated cumulative distribution functions","year":2022,"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":"Western University; Carleton University; University of Waterloo","funders":"","keywords":"Quantile; Cumulative distribution function; Mathematics; Statistics; Econometrics; Probability density function","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":[0.00765244,0.0004149365,0.0006901293,0.001502892,0.0001907902,0.001731497,0.0007992469,0.001044688,0.002372995],"category_scores_gemma":[0.03538866,0.0002085251,0.0004705076,0.001221053,0.0005783235,0.001673078,0.001095551,0.001052728,0.0003463271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559588,"about_ca_system_score_gemma":0.0006916302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352357,"about_ca_topic_score_gemma":0.001067741,"domain_scores_codex":[0.9983867,0.0005279939,0.00008950324,0.0002834915,0.0005404873,0.0001718866],"domain_scores_gemma":[0.9817048,0.01457378,0.0009855037,0.0009248292,0.001412859,0.0003982118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004430747,0.0006453031,0.4517124,0.0003499957,0.0008922729,0.0005184662,0.0005739549,0.2019446,0.02410326,0.04288974,0.002081561,0.2698577],"study_design_scores_gemma":[0.0001300661,0.001290293,0.2818797,0.0000583742,0.0002521228,0.0004396421,0.0004305165,0.667239,0.008952986,0.03760017,0.00163918,0.00008799871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593427,0.0003624588,0.1349877,0.0001673227,0.00005385583,0.00003476925,0.00038335,0.00032365,0.004344139],"genre_scores_gemma":[0.9873655,0.00005446918,0.01183289,0.00002378334,0.00001574567,0.000009945832,0.0003343222,0.00002391503,0.0003393714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00765244,"threshold_uncertainty_score":0.04047048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055412885811482,"score_gpt":0.397787847799909,"score_spread":0.2922465592187609,"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."}}