{"id":"W2062734930","doi":"10.1007/s00371-011-0567-x","title":"Partition of unity parametrics: a framework for meta-modeling","year":2011,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Polygon mesh; Computer science; Rendering (computer graphics); Parametric equation; Parametric statistics; Partition (number theory); Partition of unity; Affine transformation; Tensor product; Simple (philosophy); Smoothness; Mathematics; Algorithm; Pure mathematics; Geometry; Artificial intelligence; Computer graphics (images); Mathematical analysis","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":[0.002440223,0.001534182,0.001496247,0.00224688,0.001475641,0.00558087,0.005112672,0.001776309,0.0100095],"category_scores_gemma":[0.00515714,0.0012618,0.0032281,0.002294369,0.002531558,0.005007261,0.004549326,0.003536389,0.003432186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182809,"about_ca_system_score_gemma":0.001530165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267293,"about_ca_topic_score_gemma":0.00341275,"domain_scores_codex":[0.9985225,0.0004722579,0.0001215873,0.0001958936,0.0005735669,0.0001142134],"domain_scores_gemma":[0.998691,0.0004302226,0.00008356335,0.0005098676,0.000198387,0.0000870142],"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":[0.00005724397,0.00002461896,0.0002149934,0.0002196917,0.00006581581,0.00009024508,0.0006030715,0.04538513,0.002126872,0.8811499,0.003958919,0.06610347],"study_design_scores_gemma":[0.00002807215,0.0000310357,0.00006420818,0.0001671418,0.0000712061,0.000103333,0.0001256846,0.2907398,0.003450628,0.6072984,0.09787896,0.00004139046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005004764,0.0001038857,0.9962422,0.00005143603,0.00002631163,0.00001891883,0.00006972707,0.001221672,0.001765462],"genre_scores_gemma":[0.05364144,0.000547574,0.9394585,0.0000920959,0.00007313649,0.0002336195,0.0004232357,0.001974277,0.003556239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0100095,"threshold_uncertainty_score":0.03348511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479513466902935,"score_gpt":0.3279718330053401,"score_spread":0.1800204863150466,"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."}}