{"id":"W2296144646","doi":"10.1109/cgi.2004.19","title":"BlobTree trees","year":2004,"lang":"en","type":"article","venue":"Computer Graphics International","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Branching (polymer chemistry); Tree (set theory); Tree structure; Computer science; Image warping; Topology (electrical circuits); Algorithm; Geometry; Mathematics; Binary tree; Artificial intelligence; Mathematical analysis; Combinatorics","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":[0.0005565488,0.000519337,0.0007568085,0.001234123,0.0005833503,0.002010819,0.001452007,0.001220399,0.01568689],"category_scores_gemma":[0.002033381,0.0006323836,0.001038176,0.001815481,0.00077008,0.002027796,0.001694809,0.001164824,0.004221046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008473344,"about_ca_system_score_gemma":0.0005743333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315345,"about_ca_topic_score_gemma":0.004814971,"domain_scores_codex":[0.9995694,0.00009646871,0.00002394956,0.00007138341,0.0002020869,0.00003672678],"domain_scores_gemma":[0.9993359,0.0003024022,0.00005304694,0.0001265854,0.00012698,0.0000550216],"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":[0.0002377693,0.00009418143,0.001350788,0.0006259997,0.00007313894,0.0001729526,0.0006257585,0.2296401,0.01434197,0.3571131,0.02064978,0.3750744],"study_design_scores_gemma":[0.00005668988,0.00007078057,0.0003418811,0.0000841777,0.00001901247,0.0002912961,0.00006487835,0.7502975,0.004747677,0.09145863,0.1525239,0.00004351973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009647245,0.0008935283,0.9748034,0.0002207381,0.00006811034,0.00007457728,0.0005646815,0.00322962,0.01049812],"genre_scores_gemma":[0.125022,0.001577591,0.8519933,0.0002850304,0.00005886284,0.0002602573,0.002407171,0.001747585,0.01664814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01568689,"threshold_uncertainty_score":0.0524779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694475491702621,"score_gpt":0.2744396369840845,"score_spread":0.2374948820670583,"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."}}