{"id":"W2077178139","doi":"10.1145/2601097.2601128","title":"True2Form","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Agence Nationale de la Recherche","keywords":"Sketch; Computer science; Artificial intelligence; Curvature; Regularization (linguistics); Fidelity; Range (aeronautics); Theoretical computer science; Algorithm; Computer vision; Mathematics; Geometry","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":[0.0009744472,0.00189342,0.0009073551,0.001765587,0.0007481056,0.003262331,0.00328512,0.001858505,0.09205946],"category_scores_gemma":[0.0040442,0.001338377,0.002125547,0.000821101,0.0009892643,0.003412357,0.003719186,0.001320673,0.03128771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008161429,"about_ca_system_score_gemma":0.0009894812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002916959,"about_ca_topic_score_gemma":0.005833116,"domain_scores_codex":[0.9990947,0.00008430584,0.00004534818,0.000194473,0.000505402,0.0000758248],"domain_scores_gemma":[0.999002,0.0002372413,0.0000526459,0.0004338866,0.0002219886,0.00005227529],"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":[0.0006985947,0.0001538441,0.002753566,0.001293429,0.0001677057,0.0007586005,0.0007600249,0.03799665,0.023146,0.07667829,0.23399,0.6216033],"study_design_scores_gemma":[0.0001427412,0.0002126948,0.00108284,0.0002175606,0.00006767515,0.001499201,0.0001740891,0.3395477,0.03378454,0.04032148,0.5827675,0.0001819965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00503995,0.0005463207,0.7897181,0.0002492621,0.0002719025,0.0002583712,0.005221589,0.1520916,0.04660301],"genre_scores_gemma":[0.1393266,0.00126723,0.7052557,0.0008112109,0.0001045866,0.0005103936,0.02638106,0.03756738,0.08877592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09205946,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162757629305489,"score_gpt":0.2055229393286803,"score_spread":0.1938953630356254,"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."}}