{"id":"W2094106764","doi":"10.1006/gmod.1999.0518","title":"The Cluster Hair Model","year":2000,"lang":"en","type":"article","venue":"Graphical Models","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rendering (computer graphics); Computer science; Cluster (spacecraft); Computer graphics (images); Computer graphics; Representation (politics); Volume rendering; Polygon mesh","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003181271,0.0001369656,0.0001126256,0.00009023177,0.0003915792,0.0003408451,0.001224648,0.00008579744,0.000007588615],"category_scores_gemma":[0.000004139576,0.00009287214,0.000135833,0.0005864811,0.0001005057,0.0004412653,0.0001879888,0.0001777213,0.00001239999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007845052,"about_ca_system_score_gemma":0.00002825664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008505081,"about_ca_topic_score_gemma":0.000005992881,"domain_scores_codex":[0.9987159,0.00006407775,0.0002457619,0.0003510026,0.0003209228,0.0003023714],"domain_scores_gemma":[0.9989469,0.00008536687,0.00003329552,0.0007436072,0.00007939479,0.0001114388],"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":[0.000003398687,0.00002512194,0.000006532071,0.000001419279,0.000005560154,7.482751e-7,0.00009102778,0.00484495,0.000004058493,0.9657003,0.001912739,0.0274041],"study_design_scores_gemma":[0.00005942812,0.00001646149,0.00001269007,0.000003903858,0.00000104418,0.000002333257,3.242849e-7,0.5258171,0.00002489014,0.4724942,0.001493794,0.00007377102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002602321,0.0001366441,0.989503,0.002482914,0.00006591265,0.0001494124,0.000001227332,0.0005121161,0.004546425],"genre_scores_gemma":[0.9771199,0.000532017,0.01919157,0.002515286,0.00003777074,0.00004406811,0.00000138335,0.00001207662,0.0005459702],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9745175,"threshold_uncertainty_score":0.3787216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226417427117197,"score_gpt":0.2676738943601839,"score_spread":0.2454097200890119,"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."}}