{"id":"W4206225701","doi":"10.1561/0600000011","title":"Mesh Parameterization Methods and Their Applications","year":2007,"lang":"en","type":"article","venue":"Foundations and Trends® in Computer Graphics and Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":428,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.001238895,0.000988152,0.0009608311,0.002425205,0.0007296056,0.002032729,0.001531654,0.001700353,0.005917736],"category_scores_gemma":[0.006014721,0.001053352,0.001107916,0.003735511,0.001402975,0.002244439,0.002240378,0.002065689,0.002655791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616488,"about_ca_system_score_gemma":0.0004289913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000837583,"about_ca_topic_score_gemma":0.0005220929,"domain_scores_codex":[0.9987555,0.0002908564,0.0001134859,0.0002211263,0.000572196,0.00004683608],"domain_scores_gemma":[0.9982343,0.0009919041,0.00009869807,0.0003197552,0.0003069392,0.00004848755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006118832,0.00004186931,0.0006897374,0.0010997,0.00006146525,0.0001365528,0.0004422064,0.08334644,0.007852848,0.1801922,0.006940756,0.719135],"study_design_scores_gemma":[0.0000410569,0.000113491,0.0008459645,0.0007886727,0.00006312709,0.001317172,0.0002781421,0.3350415,0.01299956,0.2833596,0.3650278,0.0001239572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002513731,0.01884393,0.9670243,0.0003919247,0.0001634943,0.00007860284,0.00009245766,0.0006841838,0.01020737],"genre_scores_gemma":[0.0999774,0.0460001,0.8426862,0.0002765136,0.0004627882,0.0003735938,0.0003643973,0.0007360058,0.009122999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005917736,"threshold_uncertainty_score":0.01979679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457201842171171,"score_gpt":0.3545546839103911,"score_spread":0.3399826654886794,"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."}}