{"id":"W3193639655","doi":"10.1111/cgf.14359","title":"Discrete Optimization for Shape Matching","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Agence Nationale de la Recherche","keywords":"Pointwise; Solver; Energy functional; Computer science; Benchmark (surveying); Constraint (computer-aided design); Algorithm; Range (aeronautics); Mathematical optimization; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001602786,0.0001215555,0.000127131,0.0001226319,0.0002991562,0.0003152951,0.0003619032,0.00006732588,0.00001356425],"category_scores_gemma":[0.000009903488,0.0001227858,0.0001670504,0.0005306354,0.00002089572,0.0005023332,0.0002384258,0.00009689607,0.000008074194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531601,"about_ca_system_score_gemma":0.00003519304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002248058,"about_ca_topic_score_gemma":0.000006765042,"domain_scores_codex":[0.998875,0.00004640692,0.0002198138,0.0004024817,0.0001842643,0.0002720809],"domain_scores_gemma":[0.9992611,0.00004932826,0.00007367205,0.000345244,0.00019423,0.00007636979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006045023,0.00008650871,0.0003190158,0.0000445563,0.00003789657,0.00001077665,0.0002941211,0.01473903,0.0002617575,0.9331355,0.001707385,0.04935743],"study_design_scores_gemma":[0.0002983648,0.00008153433,0.0003462715,0.00002023422,0.000005153614,0.0000257227,0.00001772674,0.9704596,0.0005078784,0.02444808,0.003625205,0.0001641806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003495399,0.00005820119,0.992327,0.00208266,0.001517561,0.000143153,0.000003324753,0.0002496872,0.0001230141],"genre_scores_gemma":[0.5198914,0.00004099425,0.4761569,0.003393999,0.000217208,0.00004131631,0.00005842044,0.00002410181,0.0001756396],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9557206,"threshold_uncertainty_score":0.5007058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776773914033141,"score_gpt":0.2710417578912952,"score_spread":0.2532740187509638,"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."}}