{"id":"W4311802545","doi":"10.1145/3550454.3555441","title":"Stochastic Poisson Surface Reconstruction","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; University of Toronto","funders":"Canada Research Chairs","keywords":"Point process; Surface reconstruction; Computer science; Surface (topology); Poisson distribution; Prior probability; Point cloud; Extension (predicate logic); Algorithm; Gaussian; Poisson point process; Function (biology); Point (geometry); Gaussian process; Mathematics; Artificial intelligence; Geometry; Bayesian probability; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000113069,0.000111383,0.0001134828,0.0002050672,0.0003889702,0.00001738562,0.000163879,0.00004094543,0.0003102129],"category_scores_gemma":[0.000005218713,0.0001315371,0.0001304482,0.0006122092,0.0000213242,0.00006189783,0.000002840505,0.000434136,0.00001646055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005969323,"about_ca_system_score_gemma":0.000009013052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002586967,"about_ca_topic_score_gemma":0.00002481984,"domain_scores_codex":[0.9993137,0.00002983524,0.0001498581,0.000154407,0.000192309,0.0001599219],"domain_scores_gemma":[0.999526,0.0000570499,0.00001640648,0.0003281657,0.0000216907,0.00005064725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005214691,0.00002522939,0.000009580954,0.000005664154,0.00006337353,9.702184e-7,0.00009654546,0.9812842,0.0002743297,0.00003480691,0.00005947724,0.01814061],"study_design_scores_gemma":[0.0002754877,0.00007586809,0.00004728734,0.00001239225,0.0001292298,0.00004426729,0.0003415022,0.9934588,0.0004799791,0.004482154,0.0003601248,0.0002929095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.234693,0.0001208612,0.7637635,0.0002694647,0.0005194892,0.00005556225,0.00004627978,0.0004029216,0.0001288707],"genre_scores_gemma":[0.9987736,0.00006986851,0.0009026025,0.0000610843,0.00001620065,0.00002109984,0.000008898211,0.00002817263,0.0001184322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7640806,"threshold_uncertainty_score":0.5363928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482582435101153,"score_gpt":0.2091363597697466,"score_spread":0.194310535418735,"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."}}