{"id":"W3138833936","doi":"10.1145/2010324.1964975","title":"Photo-inspired model-driven 3D object modeling","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"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":"Computer science; Silhouette; USable; Object (grammar); 3D modeling; Computer vision; Artificial intelligence; Set (abstract data type); Process (computing); Object model; Geometric modeling; Segmentation; Computer graphics (images); Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000198279,0.0002465442,0.0002001224,0.0006437707,0.0003554939,0.0001097376,0.001497688,0.0001559316,0.00002330067],"category_scores_gemma":[0.000007341002,0.0002524937,0.0002205538,0.001089442,0.0000540503,0.0005861625,0.00004010142,0.0003246225,0.00001096555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002625472,"about_ca_system_score_gemma":0.00007319536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007480913,"about_ca_topic_score_gemma":0.00006235914,"domain_scores_codex":[0.9983917,0.00005464765,0.0003554624,0.0005402502,0.0003438333,0.00031406],"domain_scores_gemma":[0.9981806,0.00004194406,0.00007921604,0.001365257,0.0001957795,0.0001372197],"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":[0.00003956029,0.001145994,0.0001185854,0.00003636241,0.0001666738,0.00001274136,0.005820303,0.0541442,0.0003172632,0.8723164,0.0001428872,0.06573907],"study_design_scores_gemma":[0.0002054373,0.0001373271,0.00002569195,0.00002669612,0.00001679755,0.000006145583,0.000008602869,0.9557673,0.002835712,0.04051562,0.0001685783,0.0002860607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004487316,0.00002767051,0.9932283,0.0001016857,0.0001957514,0.0002249331,0.000008986802,0.001068964,0.0006563551],"genre_scores_gemma":[0.7634578,0.0002832235,0.2353807,0.0007738456,0.00001715024,0.00003731483,0.000002537326,0.0000225634,0.00002486126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9016231,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06863724088445168,"score_gpt":0.2842799106044933,"score_spread":0.2156426697200416,"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."}}