{"id":"W2905904780","doi":"10.1007/s41095-018-0128-6","title":"DeepPrimitive: Image decomposition by layered primitive detection","year":2018,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Nvidia; National Science Foundation","keywords":"Computer science; Artificial intelligence; Deep learning; Pipeline (software); Image (mathematics); Decomposition; Function (biology); Computer graphics; Computer vision; Pattern recognition (psychology); Machine learning","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":[0.0005245621,0.001195925,0.0008324264,0.0007198584,0.0002629027,0.001289548,0.002584965,0.0008845988,0.006828419],"category_scores_gemma":[0.001691872,0.0006877827,0.0008445004,0.00062189,0.0006887659,0.002541202,0.001975966,0.001928929,0.003183316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738604,"about_ca_system_score_gemma":0.000913888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491302,"about_ca_topic_score_gemma":0.007390555,"domain_scores_codex":[0.999757,0.00003085334,0.000009902124,0.00007614218,0.00008133222,0.00004483192],"domain_scores_gemma":[0.9996767,0.0000758613,0.00003564079,0.000112258,0.00006041537,0.0000391898],"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":[0.0003042927,0.000147925,0.0007664313,0.0002014251,0.00009260001,0.000186516,0.0001153068,0.1576716,0.03778212,0.02631992,0.01595973,0.7604522],"study_design_scores_gemma":[0.000006844558,0.00002267351,0.0001133675,0.00001179151,0.000008583828,0.00004241519,0.000007862584,0.9813607,0.008205915,0.007840873,0.002370806,0.000008041436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00651263,0.0002107085,0.986941,0.0001042202,0.00004925322,0.00003331121,0.000161046,0.00476856,0.001219198],"genre_scores_gemma":[0.1969567,0.0005003235,0.7892934,0.0002929092,0.00006571726,0.0001310838,0.001619258,0.0007955722,0.01034508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006828419,"threshold_uncertainty_score":0.02284336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00833283412647936,"score_gpt":0.3012126089222321,"score_spread":0.2928797747957527,"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."}}