{"id":"W2788389566","doi":"10.1007/978-3-030-00256-5_26","title":"Convexity-Increasing Morphs of Planar Graphs","year":2018,"lang":"en","type":"preprint","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Convexity; Regular polygon; Combinatorics; Planar graph; Planarity testing; Planar; Mathematics; Computer science; Line segment; Graph; Geometry; Computer graphics (images)","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":[0.0003535778,0.0006753657,0.0005593051,0.001851987,0.0009367642,0.002076185,0.001192452,0.0007701144,0.008515368],"category_scores_gemma":[0.004012898,0.0007310675,0.0007258852,0.000886488,0.002052621,0.002137884,0.002175267,0.002199627,0.0006935202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009846836,"about_ca_system_score_gemma":0.0004029413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584478,"about_ca_topic_score_gemma":0.002052129,"domain_scores_codex":[0.9996625,0.00006596139,0.00001560651,0.00008056494,0.0001098978,0.00006548222],"domain_scores_gemma":[0.9981551,0.0008323604,0.0002579509,0.0002330901,0.0002290094,0.000292489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001089123,0.0000401166,0.00149953,0.0001205758,0.00001663763,0.000227436,0.0004402859,0.01689933,0.005453587,0.9423975,0.005321276,0.02747494],"study_design_scores_gemma":[0.00002423773,0.00003955903,0.001986499,0.00003149094,0.00002569275,0.0003697553,0.0002975825,0.05926586,0.002538522,0.9272632,0.008137076,0.00002049856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6721641,0.0008380543,0.2461116,0.00172275,0.0002138899,0.00009989079,0.0009485493,0.0006456742,0.07725546],"genre_scores_gemma":[0.9221982,0.0008219139,0.0466811,0.0003066129,0.0001773905,0.00009492909,0.001131716,0.0007976009,0.02779048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008515368,"threshold_uncertainty_score":0.02848673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012392145713439,"score_gpt":0.2681049763508782,"score_spread":0.2479810548937438,"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."}}