{"id":"W2081580873","doi":"10.1145/1124772.1124825","title":"symSpline","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tangent; Spline (mechanical); Curvature; Tangent vector; Computer science; Mathematics; Algorithm; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101124,0.001076996,0.0007029038,0.0008163417,0.0003741005,0.001188788,0.002225325,0.001128605,0.03725253],"category_scores_gemma":[0.005674521,0.0006017307,0.0007541393,0.0005599313,0.0006116445,0.002297698,0.002716485,0.00135701,0.01216673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864541,"about_ca_system_score_gemma":0.000500436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003353389,"about_ca_topic_score_gemma":0.0005771123,"domain_scores_codex":[0.9985294,0.0002229141,0.0001211971,0.0002779669,0.0007454446,0.0001031383],"domain_scores_gemma":[0.9967674,0.001064562,0.0002760977,0.001042799,0.0006064313,0.0002426594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001095948,0.0002143279,0.001324757,0.00113819,0.00008175911,0.0006228206,0.0005541563,0.004070762,0.1270134,0.0172018,0.0505087,0.7961734],"study_design_scores_gemma":[0.0003060994,0.00124597,0.004203761,0.0003183533,0.0001160519,0.005885697,0.000244467,0.09366518,0.2424899,0.02338669,0.6278454,0.0002924004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01355909,0.0004982402,0.9354178,0.0002248125,0.0002610222,0.0001953807,0.001010982,0.03438586,0.01444679],"genre_scores_gemma":[0.1444773,0.0009047561,0.8101799,0.0005626053,0.0001414968,0.0004927156,0.002641707,0.008744766,0.03185472],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03725253,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00145501294486365,"score_gpt":0.1719095707983756,"score_spread":0.1704545578535119,"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."}}