{"id":"W4388659082","doi":"10.1111/cgf.14979","title":"Balancing Rotation Minimizing Frames with Additional Objectives","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Waterloo; Ministry of Advanced Education, Government of Alberta","keywords":"Rotation (mathematics); Tangent; Computer graphics; Computer science; Tangent vector; Frame (networking); Minification; Mathematics; Coordinate system; Algorithm; Computer vision; Mathematical optimization; Artificial intelligence; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004377706,0.0001356266,0.0001501221,0.0002774451,0.0000933576,0.00003218035,0.0001066194,0.00005131766,0.00003629138],"category_scores_gemma":[0.000008684579,0.0001233385,0.00006808064,0.0009460376,0.00004554787,0.0001963084,0.00003938953,0.0001598428,0.00002423595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002487047,"about_ca_system_score_gemma":0.000006280527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001886919,"about_ca_topic_score_gemma":0.000008389181,"domain_scores_codex":[0.9992428,0.0000118765,0.0001403511,0.0001790609,0.0001752234,0.0002506755],"domain_scores_gemma":[0.9995816,0.0001496668,0.00002986922,0.0001385065,0.00005161539,0.00004875039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005481654,0.0001317478,0.02716597,0.0003316978,0.001171058,0.0001540573,0.001458064,0.4779034,0.002026925,0.06464648,0.2648742,0.1600816],"study_design_scores_gemma":[0.0001666504,0.00009117457,0.0137707,0.0001164626,0.00001805455,0.000008704054,0.00009695019,0.9537796,0.001209241,0.02039393,0.009997209,0.0003513712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01847671,0.00004535298,0.9785715,0.0001297858,0.0001009905,0.0001037424,0.00005303065,0.002220768,0.0002981405],"genre_scores_gemma":[0.9098819,0.00005917976,0.08917203,0.0002136046,0.000135615,0.00009015146,0.0003771104,0.00005065797,0.000019755],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8914052,"threshold_uncertainty_score":0.5029598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911736953361502,"score_gpt":0.2151984928278721,"score_spread":0.2092867558745106,"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."}}