{"id":"W1996593518","doi":"10.1145/2661229.2661241","title":"Morfit","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University","funders":"Shenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers; Israel Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Surface (topology); Iterated function; Computer science; Surface reconstruction; Point (geometry); Algorithm; Operator (biology); Artificial intelligence; Computer vision; Topology (electrical circuits); Computer graphics (images); Mathematics; Geometry; Combinatorics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000740785,0.00009050519,0.00009299105,0.0001653733,0.00008917777,0.00001758988,0.0001437869,0.00006170534,0.00006133333],"category_scores_gemma":[0.00000797501,0.00009036391,0.0001113135,0.0003020938,0.00001759512,0.00004280069,6.906467e-7,0.0001867833,0.00007761211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008378205,"about_ca_system_score_gemma":0.000002021295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008225801,"about_ca_topic_score_gemma":0.00002787078,"domain_scores_codex":[0.9995514,0.00001096667,0.0001024053,0.0001019364,0.0001042642,0.0001290896],"domain_scores_gemma":[0.9994964,0.00005232893,0.000006393279,0.0003724608,0.00001970533,0.00005268183],"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":[0.000002590416,0.00004019119,0.00004849378,0.00002273629,0.0001168696,7.733643e-7,0.00009849984,0.9192235,0.0003324054,0.0006137684,0.0003239033,0.07917628],"study_design_scores_gemma":[0.0002060389,0.00003714831,0.0001847512,0.0000197274,0.00009475681,0.000002441308,0.00002354693,0.9843625,0.002008476,0.007590055,0.005225426,0.0002451086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03319135,0.00004005401,0.9645252,0.0002528822,0.0001535895,0.00002172904,0.000005631277,0.0004139298,0.001395684],"genre_scores_gemma":[0.9977247,0.000156897,0.001760561,0.000174671,0.00002986489,0.000008307705,0.000002781899,0.00002145897,0.0001207926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9645333,"threshold_uncertainty_score":0.3684933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269370794369759,"score_gpt":0.207913718097618,"score_spread":0.1952200101539204,"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."}}