{"id":"W1994013287","doi":"10.1145/1242073.1242201","title":"Generating feather coats using Bezier curves","year":2002,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Feather; Coat; Computer science; Zoology; Biology; Ecology","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":[0.000374002,0.0009917052,0.0007567169,0.0009313107,0.0006034525,0.0008820397,0.0009153678,0.0008095777,0.005323824],"category_scores_gemma":[0.00169119,0.0008697457,0.001149969,0.0004326169,0.0005983393,0.0007343314,0.001255691,0.0007449651,0.001246226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665272,"about_ca_system_score_gemma":0.0003327676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681677,"about_ca_topic_score_gemma":0.002328474,"domain_scores_codex":[0.9996893,0.00003956033,0.00001604325,0.00006664829,0.0001511217,0.00003724069],"domain_scores_gemma":[0.9994763,0.0002142948,0.0000364561,0.0001012989,0.0001161767,0.00005556178],"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":[0.0004016063,0.0001896202,0.003270033,0.0005920408,0.0001058343,0.001319655,0.0007899537,0.4420441,0.1479523,0.05804295,0.01488968,0.3304022],"study_design_scores_gemma":[0.00006000522,0.0000669471,0.0004828782,0.00002751282,0.00001729693,0.0003355761,0.00005337585,0.9474095,0.02240747,0.01441863,0.01468988,0.00003103017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05121813,0.0001416611,0.9374433,0.0000898892,0.00008688754,0.0001617162,0.0001778788,0.003403477,0.007276976],"genre_scores_gemma":[0.3448981,0.0002341365,0.6450021,0.00004657229,0.00002257986,0.0001124824,0.0006054875,0.001632623,0.007445872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005323824,"threshold_uncertainty_score":0.01780999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06977146299953337,"score_gpt":0.3067010071947069,"score_spread":0.2369295441951736,"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."}}