{"id":"W2318693839","doi":"10.1103/physreve.86.031921","title":"Experimental determination of<i>Philodendron melinonii</i>and<i>Arabidopsis thaliana</i>tissue microstructure and geometric modeling via finite-edge centroidal Voronoi tessellation","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Voronoi diagram; Tessellation (computer graphics); Centroidal Voronoi tessellation; Petiole (insect anatomy); Arabidopsis thaliana; Biological system; Centroid; Geometry; Computer science; Topology (electrical circuits); Algorithm; Mathematics; Combinatorics; Biology; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001440599,0.0001936113,0.0001234774,0.0001493762,0.0002167519,0.0002269181,0.0003128881,0.0002801672,0.0006997578],"category_scores_gemma":[0.0003327939,0.0001190259,0.0001025247,0.0002502915,0.0002476696,0.0002746093,0.0001366231,0.000248227,0.0002484051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386285,"about_ca_system_score_gemma":0.0001199012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230517,"about_ca_topic_score_gemma":0.002633907,"domain_scores_codex":[0.9998825,0.00001220861,0.000006971026,0.00004823195,0.00003402233,0.00001622218],"domain_scores_gemma":[0.9997676,0.00005845635,0.00006039552,0.0000356747,0.00005431785,0.00002344192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002203462,0.000006076863,0.0004291485,0.00001810146,0.00000111649,0.00002271071,0.00001612653,0.0003075129,0.9981866,0.0001126885,0.00001763898,0.0008602386],"study_design_scores_gemma":[0.000004874636,0.00008690927,0.01444006,0.000004053304,0.000007903333,0.0001190424,0.00006739637,0.005251281,0.9787254,0.0001275078,0.00115705,0.000008475336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766921,0.0006119491,0.01845016,0.00003684055,0.00001443258,0.00003422914,0.0006621794,0.0001094116,0.003388771],"genre_scores_gemma":[0.9862655,0.0003045642,0.01216121,0.00001336431,0.000002728495,0.00003531828,0.0005673785,0.00002670471,0.0006232416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00230517,"threshold_uncertainty_score":0.004583478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074898185663368,"score_gpt":0.2954655729164549,"score_spread":0.2847165910598212,"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."}}