{"id":"W1558719734","doi":"10.3982/qe24","title":"Partial identification of spread parameters","year":2010,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Northwestern University","keywords":"Missing data; Nonparametric statistics; Identification (biology); Cumulative distribution function; Mathematics; Statistics; Variance (accounting); Range (aeronautics); Entropy (arrow of time); Measure (data warehouse); Econometrics; Computer science; Data mining; Probability density function","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01143793,0.00133588,0.002161482,0.002497562,0.0009413949,0.004458458,0.001745686,0.001884864,0.008821272],"category_scores_gemma":[0.0737464,0.0007910275,0.001608095,0.002714868,0.002769922,0.01040567,0.005221812,0.004180872,0.001283612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294002,"about_ca_system_score_gemma":0.001194275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040535,"about_ca_topic_score_gemma":0.0005049033,"domain_scores_codex":[0.9935158,0.002826018,0.0003904612,0.001367603,0.00135924,0.0005407633],"domain_scores_gemma":[0.9561132,0.02859782,0.004637702,0.00697698,0.003012718,0.0006614631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001834251,0.0000622404,0.01310903,0.0003642956,0.0002748925,0.0002614331,0.0008947822,0.2439011,0.002514289,0.6386436,0.002732323,0.09705863],"study_design_scores_gemma":[0.0000175327,0.00011531,0.007125867,0.0002386557,0.000084821,0.0004162719,0.0003954004,0.299634,0.003772737,0.681235,0.006871982,0.00009244521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05088833,0.00103375,0.9339085,0.0007853759,0.00005613139,0.00004577825,0.0004574689,0.0002355156,0.01258912],"genre_scores_gemma":[0.9198242,0.00114065,0.07325121,0.0003240677,0.000159726,0.0002199899,0.0008498722,0.0001996168,0.004030562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01143793,"threshold_uncertainty_score":0.06049025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393675237942017,"score_gpt":0.4014326211521277,"score_spread":0.262065097357926,"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."}}