{"id":"W4385318073","doi":"10.3390/jrfm16080348","title":"The Use of the Partitioning Theorem to Prove Further Results Regarding the Distribution of IRRs: And an Open Question","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Partition (number theory); Distribution (mathematics); Computer science; Transaction cost; Mathematics; Combinatorics; Economics; Microeconomics; Database; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009442875,0.00129035,0.002861233,0.002288035,0.001479745,0.004517176,0.004211179,0.003059851,0.009800632],"category_scores_gemma":[0.05496993,0.001187371,0.002691132,0.003254922,0.006255509,0.02000832,0.00305003,0.006771043,0.001712811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744121,"about_ca_system_score_gemma":0.001137816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369626,"about_ca_topic_score_gemma":0.0004822083,"domain_scores_codex":[0.9959497,0.001310562,0.0002489331,0.001197043,0.0008041083,0.0004895601],"domain_scores_gemma":[0.9463451,0.03756579,0.004083334,0.006402222,0.004346692,0.001256888],"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":[0.00009335022,0.00005393589,0.002204455,0.0002340428,0.00009621799,0.0002166322,0.000324304,0.007429827,0.002052743,0.9545012,0.003837692,0.02895557],"study_design_scores_gemma":[0.00003522592,0.00006640202,0.001195124,0.00007867737,0.00002201596,0.0003707477,0.0001378744,0.03668556,0.001449684,0.9535375,0.006365785,0.00005532657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05065384,0.004596717,0.9180192,0.01058334,0.0003902958,0.00009568784,0.0005155333,0.0002389181,0.01490636],"genre_scores_gemma":[0.7617282,0.007957729,0.2052185,0.00601332,0.003377631,0.0005399033,0.001180314,0.0006422758,0.01334211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009800632,"threshold_uncertainty_score":0.04993933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542359461282352,"score_gpt":0.2435617724206326,"score_spread":0.2081381778078091,"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."}}