{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002653467,0.000620158,0.0005449929,0.001199173,0.0009496057,0.001504179,0.001480908,0.001277853,0.01783405],"category_scores_gemma":[0.001570795,0.0004362063,0.0007774378,0.001090469,0.001253214,0.001745902,0.001600185,0.001476581,0.00553966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244385,"about_ca_system_score_gemma":0.001099973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006756007,"about_ca_topic_score_gemma":0.004482933,"domain_scores_codex":[0.9996417,0.00005376096,0.00000671019,0.00009248126,0.0001549859,0.00005036955],"domain_scores_gemma":[0.9996014,0.00006587922,0.00002174493,0.0001354434,0.000114371,0.00006124757],"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":[0.00007915445,0.000036307,0.0003237728,0.00009038877,0.00003298365,0.0001152446,0.0001769559,0.06718978,0.005263424,0.813976,0.0228011,0.08991486],"study_design_scores_gemma":[0.00003032338,0.00004058908,0.0003701179,0.00003976266,0.00002489549,0.0002006972,0.00008194553,0.5331088,0.002362238,0.4009389,0.06276184,0.00003980386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01280687,0.0008113442,0.879548,0.0006755316,0.0003001118,0.0001227984,0.0004360176,0.001388664,0.1039108],"genre_scores_gemma":[0.6034784,0.002212329,0.2236117,0.000676562,0.0004623264,0.000385288,0.001280282,0.001560761,0.1663323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01783405,"threshold_uncertainty_score":0.05966079,"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."}}