{"id":"W2612843093","doi":"10.1145/3072959.3073637","title":"GRASS","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Google; National Natural Science Foundation of China; Qualcomm; National Science Foundation","keywords":"Computer science; Hierarchy; Encoding (memory); Context (archaeology); Adjacency list; Key (lock); Pipeline (software); Topology (electrical circuits); Interpolation (computer graphics); Code (set theory); Matching (statistics); Artificial intelligence; Net (polyhedron); Theoretical computer science; Algorithm; Geometry; Image (mathematics); Mathematics; Set (abstract data type)","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":[0.0004305226,0.0009850421,0.0005406564,0.0009438175,0.001327219,0.002922334,0.001946386,0.001843541,0.190757],"category_scores_gemma":[0.001613398,0.0004723163,0.0008370106,0.0007886307,0.0007081686,0.002960686,0.003010776,0.001846462,0.09092769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138137,"about_ca_system_score_gemma":0.001501764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003804237,"about_ca_topic_score_gemma":0.005411161,"domain_scores_codex":[0.9993798,0.00006958149,0.00003412335,0.0002142398,0.0002133431,0.00008891056],"domain_scores_gemma":[0.9995533,0.00005246514,0.0000260749,0.0001355218,0.0001533456,0.00007922287],"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":[0.0001979947,0.000116961,0.001932944,0.000493716,0.00005307902,0.0006175737,0.0003439361,0.01071057,0.0112853,0.2054084,0.2434852,0.5253544],"study_design_scores_gemma":[0.00002671859,0.00006516703,0.0007432927,0.0001251753,0.00002178841,0.0005310868,0.0001150427,0.02213204,0.004392627,0.05827927,0.9135237,0.00004414378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.009861009,0.002361913,0.3771706,0.004740198,0.003791469,0.0004087649,0.007849557,0.01663369,0.5771828],"genre_scores_gemma":[0.1725548,0.0041341,0.2249895,0.005002121,0.001184638,0.0006148707,0.01977342,0.005040335,0.5667063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.190757,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621619073944116,"score_gpt":0.2509840160724924,"score_spread":0.2247678253330512,"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."}}