{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217819,0.00008237949,0.00008254321,0.00008282586,0.0001142632,0.0001569194,0.0003634277,0.00002770011,0.0001381537],"category_scores_gemma":[0.000006621452,0.00007250993,0.00004138859,0.0003444372,0.00001407792,0.0002881471,0.0001668838,0.0000451493,0.00001116505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009435289,"about_ca_system_score_gemma":0.000005886317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000190552,"about_ca_topic_score_gemma":0.000002415095,"domain_scores_codex":[0.9993215,0.00003275965,0.0001409458,0.0002131847,0.0001517727,0.0001398749],"domain_scores_gemma":[0.9995289,0.00001782217,0.0000431595,0.0002985406,0.00006681337,0.00004478027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.43981e-7,0.0001714444,0.002235134,0.00005275584,0.00002626314,0.00001350916,0.0008150188,0.0001320129,0.004682516,0.8790477,0.0587997,0.05402369],"study_design_scores_gemma":[0.00004485262,0.00001839254,0.00003541589,0.00003637312,0.000001515249,0.000009465086,0.000001340045,0.9910583,0.003918074,0.001002199,0.003755223,0.0001188303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003461503,0.000571963,0.9927333,0.0002622769,0.0001040062,0.00007446409,2.524993e-7,0.0004003206,0.002391924],"genre_scores_gemma":[0.3520057,0.000428079,0.6379166,0.007573985,0.000158412,0.000008982545,0.000001392159,0.00002044772,0.001886355],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9909263,"threshold_uncertainty_score":0.2956869,"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."}}