{"id":"W2008519152","doi":"10.1002/wics.128","title":"Geometry in statistics","year":2010,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Computational Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information geometry; Statistical inference; Nonparametric statistics; Euclidean geometry; Geometry; Computer science; Focus (optics); Inference; Mathematics; Statistics; Artificial intelligence","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":[0.002215975,0.000746077,0.001125451,0.00254204,0.0006728967,0.002871441,0.0007716502,0.001694341,0.003292867],"category_scores_gemma":[0.004583818,0.0003111582,0.0005459472,0.003267971,0.008173019,0.004097113,0.001312371,0.003174016,0.002109518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960041,"about_ca_system_score_gemma":0.001509161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305981,"about_ca_topic_score_gemma":0.0007043781,"domain_scores_codex":[0.9979126,0.0009592479,0.0001001399,0.0003024605,0.0006581435,0.00006738189],"domain_scores_gemma":[0.9967983,0.002196289,0.0001496129,0.0003216998,0.0004331,0.000100915],"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":[0.000003932124,0.000004309477,0.00009488565,0.0002671947,0.00001451517,0.0000358848,0.0001109867,0.001344351,0.0001471664,0.9354512,0.01173407,0.05079146],"study_design_scores_gemma":[0.000002315509,0.00001199512,0.0002152391,0.0001559389,0.000003961401,0.0001884525,0.0000514896,0.001469393,0.0000963426,0.8313922,0.1664014,0.00001129719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003519677,0.5747308,0.3011393,0.02401217,0.004400813,0.00004791008,0.0004179927,0.0004156319,0.09131564],"genre_scores_gemma":[0.1946918,0.6537561,0.09923038,0.008581758,0.01464995,0.0002304856,0.0005009852,0.0003118723,0.02804655],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003292867,"threshold_uncertainty_score":0.01422113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06107983404593441,"score_gpt":0.403007021376157,"score_spread":0.3419271873302225,"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."}}