{"id":"W2785810336","doi":"10.1111/cgf.13348","title":"A Versatile Parameterization for Measured Material Manifolds","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Rendering (computer graphics); Extrapolation; Computer science; Representation (politics); Manifold (fluid mechanics); Exploit; Reflectivity; Gaussian; Artificial intelligence; Computer graphics (images); Algorithm; Computer vision; Mathematics; Optics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003907055,0.0002689471,0.000263383,0.0004466075,0.0003956122,0.000600653,0.001190293,0.000161037,0.000009604626],"category_scores_gemma":[0.00001453343,0.0002741845,0.0001927698,0.0008643852,0.00012662,0.000550008,0.0004794264,0.00008111994,0.00001019738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002563935,"about_ca_system_score_gemma":0.0000575805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001292213,"about_ca_topic_score_gemma":0.00001391562,"domain_scores_codex":[0.9980281,0.00007487946,0.0004202949,0.0006533204,0.0003303453,0.0004930465],"domain_scores_gemma":[0.9982637,0.00007434557,0.0001858411,0.0008074649,0.0005387258,0.0001299535],"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":[0.00001774315,0.00006538982,0.0003173922,0.00002289734,0.0000346631,0.000001477562,0.0002179069,0.000001478778,0.0002282188,0.9779968,0.01132203,0.009773954],"study_design_scores_gemma":[0.0005855819,0.00108592,0.0007253705,0.00004534431,0.00001368984,0.00001517475,0.000004074137,0.8146648,0.01183333,0.1150868,0.05547354,0.0004663578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004822735,0.00001848989,0.9907087,0.0003662901,0.002468403,0.000584957,0.00002258095,0.0009001342,0.0001076827],"genre_scores_gemma":[0.8381131,0.0000183639,0.1591091,0.001871274,0.0006595255,0.00010348,0.0000686811,0.0000374383,0.00001908051],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.86291,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544823771007567,"score_gpt":0.2781019733605103,"score_spread":0.2526537356504347,"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."}}