{"id":"W4413753575","doi":"10.1016/j.cag.2025.104394","title":"SHREC 2025: Protein surface shape retrieval including electrostatic potential","year":2025,"lang":"en","type":"preprint","venue":"Computers & Graphics","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"School of Graduate Studies, Queen's University; Ministry of Science and Technology, Taiwan; European Research Executive Agency; Ministero dell'Istruzione e del Merito; Natural Sciences and Engineering Research Council of Canada; Queen's University; European Commission; Agence Nationale de la Recherche; National Institutes of Health; National Science Foundation","keywords":"Surface (topology); Computer science; Surface protein; Biophysics; Chemistry; Biological system; Geometry; Mathematics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007901328,0.003775128,0.003593806,0.00359089,0.001449621,0.004300762,0.005257929,0.003344914,0.02903143],"category_scores_gemma":[0.007283635,0.001016013,0.00225021,0.002948707,0.000643581,0.003501097,0.003584457,0.002261301,0.03351745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395052,"about_ca_system_score_gemma":0.003727429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578421,"about_ca_topic_score_gemma":0.02426729,"domain_scores_codex":[0.9938472,0.0008769561,0.0003412369,0.001585119,0.002567317,0.0007820978],"domain_scores_gemma":[0.9942762,0.0007694378,0.0001752484,0.002049537,0.002034538,0.0006950177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001382774,0.0008362446,0.002348965,0.001206331,0.0004023105,0.0001921496,0.00007638928,0.006104334,0.0185245,0.001852302,0.7667497,0.2003239],"study_design_scores_gemma":[0.001600481,0.003015054,0.01605791,0.0002917872,0.0002541429,0.0009941639,0.0003315198,0.1735378,0.08327059,0.005371666,0.7150432,0.0002317014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1356792,0.01438373,0.2140905,0.002113758,0.009685506,0.006166828,0.3456345,0.2039059,0.06834004],"genre_scores_gemma":[0.04621517,0.0009971219,0.1219999,0.0006646136,0.0005105581,0.001082219,0.785328,0.004951272,0.03825117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02903143,"threshold_uncertainty_score":0.09711981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147608771039027,"score_gpt":0.2680475080519449,"score_spread":0.2465714203415546,"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."}}