{"id":"W4404987082","doi":"10.1109/iccv51701.2025.00147","title":"Geometry Distributions","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Geometry; Geology; Mathematics","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":[0.0005946219,0.001002789,0.0007517651,0.002436738,0.0004408836,0.002229063,0.001728397,0.001558293,0.009327713],"category_scores_gemma":[0.003923833,0.000599023,0.001026647,0.002049033,0.001322114,0.003380755,0.00176829,0.001582206,0.003335285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380922,"about_ca_system_score_gemma":0.0007080204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341234,"about_ca_topic_score_gemma":0.004414309,"domain_scores_codex":[0.9993262,0.00009467277,0.00002952141,0.0002536447,0.0002507774,0.00004518608],"domain_scores_gemma":[0.9989574,0.0002737695,0.0001316391,0.0003032731,0.0002712163,0.0000627285],"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":[0.0001426638,0.00009047328,0.004071016,0.0002969076,0.00007893583,0.0001690367,0.0001964074,0.3829383,0.01077922,0.3316931,0.0162324,0.2533116],"study_design_scores_gemma":[0.00001347746,0.00003514095,0.001437582,0.0000398351,0.00001530919,0.0002625865,0.00005342521,0.851236,0.002649029,0.1310029,0.01321761,0.00003706834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01075146,0.0003139241,0.9795305,0.0003803934,0.00007454774,0.00006011356,0.001544264,0.001025043,0.006319828],"genre_scores_gemma":[0.6007215,0.002225326,0.3680498,0.0006025974,0.0002915466,0.0004383513,0.008221353,0.001047334,0.01840219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009327713,"threshold_uncertainty_score":0.03120428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126051665113219,"score_gpt":0.3053915268104174,"score_spread":0.2841310101592852,"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."}}