{"id":"W2887608518","doi":"10.3390/e20080575","title":"Spherical Minimum Description Length","year":2018,"lang":"en","type":"article","venue":"Entropy","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hypersphere; Minimum description length; Mathematics; Model selection; Selection (genetic algorithm); Applied mathematics; Laplace transform; Algorithm; Mathematical optimization; Artificial intelligence; Computer science; Statistics; Mathematical analysis; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001671717,0.00007845352,0.0000899577,0.00002188329,0.00007651062,0.00008848153,0.0003641323,0.00004476149,0.00008452487],"category_scores_gemma":[0.00002593231,0.0000650314,0.00004308318,0.0001518398,0.00005109863,0.0002407095,0.00009107024,0.00007228715,0.0002839436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267265,"about_ca_system_score_gemma":0.00002329244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006511661,"about_ca_topic_score_gemma":0.000001307197,"domain_scores_codex":[0.9992215,0.00008165416,0.0001061512,0.0002423903,0.0001361131,0.0002122028],"domain_scores_gemma":[0.999482,0.00001682709,0.00003205959,0.0003423247,0.00004345278,0.00008328689],"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":[0.00001120117,0.0000621924,0.0001530792,0.000003243165,0.00001084555,0.0000120741,0.000709754,3.728429e-7,0.02826336,0.7529835,0.03021453,0.1875758],"study_design_scores_gemma":[0.001254669,0.000887216,0.004369485,0.00003207712,0.00002140123,0.00007581027,0.00002404008,0.1783628,0.0586573,0.4499177,0.3056607,0.0007367557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005893756,0.00006715479,0.9860688,0.0009403203,0.0007974652,0.00005542113,2.919494e-7,0.0001164276,0.006060291],"genre_scores_gemma":[0.2519877,0.00000488674,0.7459191,0.0005884718,0.0004263095,0.000003167728,2.994192e-7,0.000004910222,0.001065099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3030658,"threshold_uncertainty_score":0.3649615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148450439491062,"score_gpt":0.2649447020826102,"score_spread":0.2434601976876996,"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."}}