{"id":"W2040030030","doi":"10.1051/snamc/201402203","title":"A generalization of 3D prismatic characteristics along a nonuniform projection mesh","year":2014,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Polygon mesh; Computation; Generalization; Computer science; Projection (relational algebra); Scale (ratio); Computational science; Process (computing); Space (punctuation); Algorithm; Mathematical optimization; Computer graphics (images); Mathematics; Mathematical analysis; Physics","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":[0.0003139921,0.00007662697,0.0001131978,0.0001532543,0.00006586456,0.00005819914,0.0001743844,0.00003749435,0.00001484799],"category_scores_gemma":[0.00006601906,0.00006924602,0.00002825849,0.0004429969,0.00001143393,0.0003496686,0.00005385737,0.00003522034,0.00001574417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002080721,"about_ca_system_score_gemma":0.00004924067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001694069,"about_ca_topic_score_gemma":0.00001416351,"domain_scores_codex":[0.9991758,0.00005182844,0.0002862847,0.0001683894,0.000216672,0.0001009758],"domain_scores_gemma":[0.9993753,0.00004651032,0.0001528252,0.0002047092,0.0001871351,0.00003348858],"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":[0.00001170236,0.0002322271,0.00306938,0.0001747322,0.00003524007,9.548186e-7,0.001517194,0.004672643,0.01047508,0.6123477,0.0009080804,0.3665551],"study_design_scores_gemma":[0.0001733716,0.00009116586,0.01035331,0.00001229303,0.000005778525,0.000009053678,0.00000456376,0.9801784,0.006001155,0.001770356,0.001303713,0.00009686867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1198094,0.000004115007,0.8775709,0.0001243192,0.0002411706,0.0001367721,5.578456e-7,0.00007299769,0.002039773],"genre_scores_gemma":[0.8387972,0.000003586761,0.1604455,0.0001547196,0.0001001005,0.00001123811,0.0000252676,0.000004001217,0.0004584623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9755057,"threshold_uncertainty_score":0.2823771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107973671194868,"score_gpt":0.2293559223507461,"score_spread":0.2182761856387974,"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."}}