{"id":"W2154956206","doi":"10.1145/2601097.2601185","title":"Meta-representation of shape families","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; European Research Council; Azrieli Foundation; Israel Science Foundation; Adobe Systems; University College London; United States-Israel Binational Science Foundation","keywords":"Representation (politics); Set (abstract data type); Computer science; ENCODE; Shape analysis (program analysis); Identity (music); Variety (cybernetics); Active shape model; Artificial intelligence; Prior probability; Theoretical computer science; Bayesian probability","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":[0.000831951,0.0009561103,0.001006997,0.002131803,0.0005941624,0.002965695,0.002853347,0.00153697,0.006485927],"category_scores_gemma":[0.004670107,0.0007678376,0.002119191,0.002242779,0.001265475,0.004714298,0.002627695,0.002100161,0.001916362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009546426,"about_ca_system_score_gemma":0.000910083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988603,"about_ca_topic_score_gemma":0.003554998,"domain_scores_codex":[0.9990434,0.0001812686,0.00007254475,0.0002995605,0.0003211968,0.00008198664],"domain_scores_gemma":[0.997895,0.0004713385,0.0001623662,0.001059846,0.0003106327,0.0001008241],"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":[0.0004115629,0.0001725429,0.003992418,0.0006754003,0.0001847795,0.0006973777,0.001144784,0.3538106,0.02874744,0.2562669,0.0162381,0.3376582],"study_design_scores_gemma":[0.000022518,0.00007175709,0.0006491409,0.0001005447,0.00005100613,0.0005559374,0.0001548838,0.8500151,0.009027556,0.1141712,0.02512644,0.00005391525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009342724,0.0002571682,0.9838472,0.0001949032,0.00003330971,0.00004842265,0.001067203,0.00239802,0.002811079],"genre_scores_gemma":[0.2779529,0.0006817385,0.710118,0.0002641209,0.00006054678,0.0003467487,0.004943042,0.001176057,0.004456895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006485927,"threshold_uncertainty_score":0.02169764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717064391669978,"score_gpt":0.2528772223352757,"score_spread":0.2057065784185759,"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."}}