{"id":"W2012604613","doi":"10.1145/2816795.2818116","title":"SHED","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Azrieli Foundation","keywords":"Shape analysis (program analysis); Computer science; Similarity (geometry); Heat kernel signature; Distance transform; Block (permutation group theory); Artificial intelligence; Active shape model; Shape change; Edit distance; Variety (cybernetics); Pattern recognition (psychology); Computer vision; Geometry; Mathematics; Image (mathematics); Segmentation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007887209,0.00008606852,0.00008861783,0.0001678986,0.00005058578,0.00001753139,0.0001343145,0.00006152769,0.00002989746],"category_scores_gemma":[0.000009289473,0.00008493123,0.00009053638,0.0003651076,0.00001676928,0.00005610031,7.730198e-7,0.0001758383,0.00008084349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000176019,"about_ca_system_score_gemma":0.000007711546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001282675,"about_ca_topic_score_gemma":0.00003354471,"domain_scores_codex":[0.9995427,0.000009052874,0.0001009828,0.00009237749,0.0001326235,0.0001222205],"domain_scores_gemma":[0.9995137,0.00002173643,0.000005763006,0.0003240029,0.00003665343,0.00009816878],"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":[0.000006301461,0.00005412627,0.0000548685,0.00001188645,0.0001381304,0.000003832162,0.0003091414,0.9654676,0.0001145685,0.0001440647,0.001182559,0.0325129],"study_design_scores_gemma":[0.0005827693,0.00007336488,0.00009635888,0.00002478336,0.0001575502,0.000007037414,0.0001937902,0.9815484,0.002232888,0.01011769,0.004569336,0.0003960187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03830351,0.0001377747,0.9589298,0.0003273113,0.0002541828,0.00003081424,0.000009116294,0.000503843,0.001503645],"genre_scores_gemma":[0.9977406,0.0001206646,0.001839426,0.00011251,0.00002374119,0.000008384416,0.000003640786,0.00001963418,0.0001313702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9594371,"threshold_uncertainty_score":0.3463395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867279705773535,"score_gpt":0.2381019605028314,"score_spread":0.199429163445096,"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."}}