{"id":"W4408096902","doi":"10.1080/03610926.2025.2461605","title":"On estimating the information fraction being induced by a finite sequence of moments","year":2025,"lang":"en","type":"article","venue":"Communication in Statistics- Theory and Methods","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Western University","funders":"","keywords":"Fraction (chemistry); Sequence (biology); Mathematics; Statistics; Computer science; Chemistry; Chromatography; Biochemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002870983,0.0001054963,0.0001760319,0.0001080619,0.0002664432,0.00004444522,0.0002292042,0.00006542078,0.00004228375],"category_scores_gemma":[0.012494,0.00008901043,0.00001752741,0.000346554,0.0001800603,0.0001682432,0.00007867636,0.0002552945,0.000003767122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006535182,"about_ca_system_score_gemma":0.00003892554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001794544,"about_ca_topic_score_gemma":0.000001651655,"domain_scores_codex":[0.9978099,0.001292828,0.0005665571,0.000104427,0.0001196092,0.0001066758],"domain_scores_gemma":[0.9834605,0.01558899,0.0003055957,0.0004633255,0.0001523666,0.00002915681],"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":[0.00003013455,0.00005161465,0.00002094831,0.0000676496,0.00001151718,2.298938e-8,0.0004708055,0.00006834603,0.0004774974,0.9088292,0.0003989393,0.08957335],"study_design_scores_gemma":[0.0002776076,0.00001816289,0.0008472188,0.0001612375,0.00002729575,3.558162e-7,0.0003251588,0.05906115,0.0008171494,0.9379809,0.000411853,0.00007185428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004381056,0.00003221532,0.9917853,0.0003255518,0.00004674183,0.0003288896,0.000241637,0.00002838407,0.002830216],"genre_scores_gemma":[0.5260678,0.00002681462,0.4732764,0.0002785978,0.000002168927,0.00013411,0.0001566622,0.000004478309,0.00005293439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5216867,"threshold_uncertainty_score":0.9958242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616489998720918,"score_gpt":0.4926456434857773,"score_spread":0.4064807434985682,"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."}}