{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007026735,0.001251845,0.002550751,0.002706766,0.001263482,0.003721758,0.003945351,0.002627696,0.004490579],"category_scores_gemma":[0.03099641,0.001077586,0.002099698,0.002391511,0.002242527,0.00442867,0.004199477,0.002568253,0.001421973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002960273,"about_ca_system_score_gemma":0.002372346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006983374,"about_ca_topic_score_gemma":0.003902314,"domain_scores_codex":[0.9955844,0.001930352,0.0002414923,0.000833813,0.001147756,0.000262184],"domain_scores_gemma":[0.9805454,0.01471304,0.001302584,0.001533344,0.001334173,0.0005713922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001900481,0.00006000156,0.002952934,0.0004381988,0.0002937413,0.000466134,0.0002323803,0.6373346,0.001998553,0.2668957,0.006022239,0.0831154],"study_design_scores_gemma":[0.00001350838,0.00003415762,0.0002662735,0.0000285076,0.00001744471,0.00008072983,0.00001781057,0.855316,0.0006829667,0.1418314,0.00168201,0.00002910232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006727496,0.000548158,0.9900255,0.0004580315,0.00003800702,0.0000487351,0.0003099673,0.0002783371,0.001565789],"genre_scores_gemma":[0.4400009,0.001950075,0.5438631,0.001292053,0.0004737825,0.0008024168,0.003797377,0.0008830825,0.00693715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007026735,"threshold_uncertainty_score":0.03716135,"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."}}