{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002956075,0.0001681224,0.0002216232,0.0001460887,0.00007468353,0.0002010766,0.001479551,0.0002421277,0.00004451603],"category_scores_gemma":[0.00004773541,0.0001449787,0.0001558544,0.0003251954,0.00002132146,0.00007364096,0.003071423,0.0004758386,0.00002263014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004767974,"about_ca_system_score_gemma":0.0002502022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004081233,"about_ca_topic_score_gemma":0.000003205512,"domain_scores_codex":[0.9988469,0.00007837219,0.0001907469,0.0005334441,0.000139458,0.0002111155],"domain_scores_gemma":[0.9984627,0.00007852114,0.00005622696,0.001241251,0.00008284563,0.0000784298],"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":[1.762835e-7,0.00001732207,0.000008916079,0.00002633951,0.00001464315,0.000002308742,0.00001639171,0.000005098954,0.000003704435,0.8509374,0.01106564,0.137902],"study_design_scores_gemma":[0.0000670895,0.000006608414,0.000237459,0.00006668243,0.00001514971,0.000003005018,5.435099e-7,0.02417741,0.0007675985,0.936656,0.03772602,0.0002764187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001499669,0.0003213572,0.9182535,0.00205119,0.00125788,0.0001320067,0.00005825537,0.0003007251,0.07761002],"genre_scores_gemma":[0.002518142,0.00005004953,0.9780259,0.0004845193,0.00007382382,0.00002907577,0.00002332179,0.000002627203,0.01879261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1376256,"threshold_uncertainty_score":0.5912061,"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."}}