{"id":"W2769265803","doi":"10.1145/3130800.3130814","title":"Interactive wood combustion for botanical tree models","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Bundesministerium für Bildung und Forschung; King Abdullah University of Science and Technology; Stanford University; National Science Foundation","keywords":"Combustion; Tree (set theory); Charring; Computer science; Biological system; Particle (ecology); Branching (polymer chemistry); Simulation; Materials science; Mathematics; Chemistry; Geology; Composite material","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":[0.0003301131,0.0005697102,0.0005441886,0.0004258346,0.000555083,0.0009863818,0.001328167,0.0009002858,0.005299331],"category_scores_gemma":[0.0007544804,0.0003837852,0.0008876574,0.000409456,0.0004027069,0.0007743011,0.001137067,0.0008774883,0.0006289509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005417079,"about_ca_system_score_gemma":0.000570066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003161014,"about_ca_topic_score_gemma":0.00595943,"domain_scores_codex":[0.9998105,0.00003082093,0.000007768406,0.00003262282,0.00009782129,0.00002049951],"domain_scores_gemma":[0.9997543,0.0001273953,0.00001895752,0.00004724197,0.00002690879,0.00002522265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001956629,0.0001370322,0.001679459,0.000241955,0.00006535336,0.0004450397,0.0003858606,0.8332925,0.05728684,0.03571934,0.00456348,0.06598749],"study_design_scores_gemma":[0.00001136699,0.000006840129,0.00009063198,0.000006037988,0.000003269749,0.0000427876,0.00001239276,0.9908857,0.003113075,0.002413343,0.003407147,0.000007466066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05527832,0.000272772,0.9313062,0.0001477713,0.00009125702,0.00006430342,0.0002628998,0.003164827,0.009411748],"genre_scores_gemma":[0.4700475,0.0003571365,0.520996,0.00009944845,0.0000483888,0.0001260001,0.0005040021,0.001378008,0.00644359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005299331,"threshold_uncertainty_score":0.01772803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05734761466165725,"score_gpt":0.3349419422013262,"score_spread":0.277594327539669,"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."}}