{"id":"W2177559317","doi":"10.1109/3dv.2015.14","title":"Graph Edit Distance Based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition","year":2015,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Agence Nationale de la Recherche","keywords":"Computer science; Stars; Artificial intelligence; Graph; Decomposition; Computer vision; Theoretical computer science","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":[0.0006789493,0.0001390103,0.0001461367,0.0001675801,0.000158589,0.0001247701,0.0003282028,0.00005848467,0.0000114804],"category_scores_gemma":[0.00005467702,0.0001185527,0.0001088866,0.000385651,0.00002906001,0.0006760072,0.00002556457,0.00007519301,0.00005544901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000490452,"about_ca_system_score_gemma":0.00006113564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006499547,"about_ca_topic_score_gemma":0.00001246531,"domain_scores_codex":[0.9988954,0.00007551196,0.0001955147,0.0003182075,0.0002304807,0.000284858],"domain_scores_gemma":[0.9991144,0.0001700307,0.0000840315,0.0003197163,0.0001572143,0.0001546118],"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":[0.003133903,0.002339099,0.0002561449,0.0002447709,0.0001295184,0.00006969586,0.002565498,0.02569972,0.001709525,0.2786105,0.0429973,0.6422443],"study_design_scores_gemma":[0.003300124,0.001041644,0.00005477355,0.00007131715,0.0000145978,0.000006782418,0.00007803832,0.7785822,0.01250696,0.2005548,0.00340858,0.000380196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004497256,0.00001803915,0.9866795,0.0003380532,0.001048389,0.000360731,0.00002384729,0.0002277914,0.006806397],"genre_scores_gemma":[0.7367432,0.000002659712,0.260807,0.001613278,0.000245546,0.0001449149,0.0001114105,0.00001543363,0.0003165393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7528824,"threshold_uncertainty_score":0.4834439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100532026591998,"score_gpt":0.2587241162740677,"score_spread":0.2277187960081477,"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."}}