{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096729,0.001277953,0.001102222,0.003682387,0.0007763921,0.002595375,0.001695058,0.001330606,0.02049586],"category_scores_gemma":[0.007349276,0.0003926516,0.0009607537,0.003307199,0.0005563654,0.00368984,0.003781574,0.001157457,0.0185283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007096694,"about_ca_system_score_gemma":0.0007977274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991639,"about_ca_topic_score_gemma":0.004080552,"domain_scores_codex":[0.9976427,0.0002271734,0.000206011,0.0006380609,0.001137396,0.0001486344],"domain_scores_gemma":[0.9975398,0.0004456077,0.0002156649,0.001096469,0.0005850483,0.0001173613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005130093,0.0002440729,0.01012041,0.001151556,0.0002200413,0.0002350506,0.0003087172,0.01615341,0.02030708,0.03793264,0.1487987,0.7640153],"study_design_scores_gemma":[0.0001205363,0.0006372816,0.01406083,0.0002122788,0.000106661,0.002475571,0.0006100807,0.2000385,0.04090157,0.09703241,0.6435928,0.0002114607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0724849,0.004420232,0.7155012,0.0008812971,0.001072449,0.0008512476,0.08362784,0.05988459,0.06127629],"genre_scores_gemma":[0.2520559,0.002193131,0.5242107,0.001117515,0.0003699276,0.0009109466,0.1870355,0.004328435,0.02777793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02049586,"threshold_uncertainty_score":0,"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."}}