{"id":"W2891828576","doi":"10.1016/j.cag.2018.09.009","title":"Contour-aware 3D reconstruction of side-view sketches","year":2018,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Fundação Amazônia Paraense de Amparo à Pesquisa; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Sketch; Computer science; Artificial intelligence; Identification (biology); 3D reconstruction; Basis (linear algebra); Computer vision; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005442387,0.00135968,0.001078593,0.00125459,0.0002323069,0.002344195,0.001472103,0.001535034,0.006208096],"category_scores_gemma":[0.003276176,0.00147258,0.001270667,0.001048471,0.0005741929,0.001381336,0.002461565,0.002151405,0.002422421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758306,"about_ca_system_score_gemma":0.0007445361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446428,"about_ca_topic_score_gemma":0.002577929,"domain_scores_codex":[0.9994029,0.00006628392,0.00002406434,0.00008168345,0.0003720484,0.00005298911],"domain_scores_gemma":[0.9985051,0.0004475708,0.0001096625,0.0005529706,0.0002867012,0.00009800684],"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":[0.0008401218,0.0001675033,0.002303231,0.0008846876,0.0002212338,0.0008802004,0.0005990944,0.2947159,0.1897456,0.01476442,0.006732865,0.4881451],"study_design_scores_gemma":[0.0000261692,0.0000515952,0.0004311559,0.00003839246,0.00002153614,0.0005069622,0.00005042442,0.9633924,0.02965634,0.002620185,0.003169589,0.00003533255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01925916,0.0002144234,0.9762573,0.0000679447,0.00004361764,0.00005247386,0.0002618656,0.00225166,0.001591551],"genre_scores_gemma":[0.2771903,0.0008069039,0.7157932,0.00007407338,0.00004484251,0.00006221985,0.001019073,0.00121936,0.003789934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006208096,"threshold_uncertainty_score":0.02076817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197544105558353,"score_gpt":0.2727722953250645,"score_spread":0.250796854269481,"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."}}