{"id":"W2120778288","doi":"","title":"Vertex Pops and Popturns","year":2007,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Polygon (computer graphics); Rectilinear polygon; Vertex (graph theory); Combinatorics; Polygon covering; Equiangular polygon; Point in polygon; Simple polygon; Mathematics; Polygon mesh; Star-shaped polygon; Equilateral triangle; Computer science; Regular polygon; Geometry; Graph; Frame (networking); Convex set","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":[0.00006183836,0.00004213,0.00003923329,0.00002072225,0.00001293506,0.00001020392,0.00003083763,0.00002414623,0.0002071027],"category_scores_gemma":[0.000003278109,0.00003507153,0.000008508087,0.00002923719,0.000007683475,0.00003035711,0.000007360897,0.00003996307,0.00003403604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000600881,"about_ca_system_score_gemma":7.585467e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002260951,"about_ca_topic_score_gemma":0.00004897422,"domain_scores_codex":[0.9997457,9.154919e-7,0.00005843404,0.00004931813,0.00003826462,0.0001073882],"domain_scores_gemma":[0.9998727,0.00001100567,0.000002036501,0.00006411147,0.000005119929,0.00004501778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001039102,0.00003371898,0.008552046,0.00009962187,0.00007299412,0.00008335347,0.001153033,0.006368919,0.02884988,0.10907,0.01563827,0.8300678],"study_design_scores_gemma":[0.0006554493,0.0001547842,0.15374,0.00006267074,0.00003422798,0.0002116403,0.0008908724,0.1785498,0.3600921,0.009028286,0.2949838,0.001596245],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4188258,0.000605192,0.4314372,0.00004263701,0.0003272776,0.0000543544,6.047399e-7,0.0002731387,0.1484338],"genre_scores_gemma":[0.9974063,0.00005316718,0.001725723,0.0000666288,0.00002126641,3.111043e-7,4.866665e-7,0.000006926919,0.0007191608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284715,"threshold_uncertainty_score":0.2267629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005167231850481006,"score_gpt":0.1912985886851687,"score_spread":0.1861313568346877,"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."}}