{"id":"W1560089837","doi":"10.2312/compaesth/compaesth09/001-008","title":"Magnetic Curves: Curvature-Controlled Aesthetic Curves Using Magnetic Fields","year":2009,"lang":"en","type":"article","venue":"Eurographics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Curvature; TRACE (psycholinguistics); Magnetic field; Torsion of a curve; Stylized fact; Tracing; Physics; Geometry; Center of curvature; Computer science; Mathematics; Mean curvature","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":[0.0005795599,0.0003510144,0.0004704594,0.0005067891,0.000200125,0.0002821764,0.00134238,0.0001423605,0.00002846666],"category_scores_gemma":[0.00005796741,0.0003310244,0.0003313053,0.002191815,0.00009629554,0.0003561544,0.0001694997,0.0003906487,0.000006013902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001062285,"about_ca_system_score_gemma":0.00006982563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001433188,"about_ca_topic_score_gemma":0.000005417595,"domain_scores_codex":[0.9974889,0.0002538459,0.0005732637,0.0006188224,0.0005741251,0.0004910471],"domain_scores_gemma":[0.9982341,0.00008438641,0.0001967551,0.001035323,0.0002645517,0.000184889],"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":[0.00005571282,0.001229502,0.00255136,0.000587828,0.00005678346,0.0001931795,0.0005794259,0.00005514267,0.0002871996,0.8299145,0.03880734,0.1256821],"study_design_scores_gemma":[0.008217867,0.008835794,0.01631903,0.006033742,0.0004552049,0.0007916731,0.00001471624,0.7312248,0.000611243,0.1688743,0.05485905,0.003762565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009111644,0.1221124,0.8550103,0.007184928,0.0007934948,0.001607054,0.000004476281,0.001909199,0.002266485],"genre_scores_gemma":[0.871008,0.03498875,0.0455691,0.04778003,0.0002163544,0.00006291327,0.00002469793,0.00006988413,0.0002802953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8618963,"threshold_uncertainty_score":0.9999142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984583043153576,"score_gpt":0.2827595359558321,"score_spread":0.2629137055242963,"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."}}