{"id":"W2114125964","doi":"10.1016/j.ipl.2007.05.009","title":"On planar path transformation","year":2007,"lang":"en","type":"article","venue":"Information Processing Letters","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Planar; Mathematics; Path (computing); General position; Position (finance); Hamiltonian path; Regular polygon; Combinatorics; Hamiltonian (control theory); Plane (geometry); Geometry; Computer science; Mathematical optimization; Graph","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":[],"consensus_categories":[],"category_scores_codex":[0.0004842276,0.00009248147,0.00006102687,0.0003189147,0.0002041375,0.0002818092,0.0002165728,0.00003705689,0.000005022448],"category_scores_gemma":[0.00002713054,0.00008788893,0.00002879414,0.0004649145,0.00001328945,0.004146771,0.00000896102,0.00009322003,0.0001357036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005750205,"about_ca_system_score_gemma":0.00003926973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001833427,"about_ca_topic_score_gemma":5.211641e-7,"domain_scores_codex":[0.9990206,0.00001175159,0.0003259519,0.00009198576,0.0003714698,0.0001781929],"domain_scores_gemma":[0.9995579,0.00005099371,0.0001339971,0.0001161514,0.000086422,0.0000545992],"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":[0.00002925844,0.00002739501,0.00001890274,0.00006418915,0.000005757823,0.000002631983,0.006039482,0.01535475,0.001880159,0.1104319,0.00393965,0.8622059],"study_design_scores_gemma":[0.00325255,0.0003821197,0.0159195,0.000297498,0.00001808905,0.0001549569,0.0004858846,0.7446314,0.03960509,0.01763847,0.176137,0.001477465],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03777259,0.000008415013,0.9535303,0.002853862,0.0002408696,0.0001018681,0.000001241723,0.0001850644,0.005305772],"genre_scores_gemma":[0.9622576,9.967173e-7,0.02441348,0.01319689,0.00005555452,0.000005390395,0.0000560664,0.000002750844,0.00001122377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9291168,"threshold_uncertainty_score":0.3584007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008217308766478882,"score_gpt":0.2267885536003852,"score_spread":0.2185712448339063,"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."}}