{"id":"W2364591922","doi":"","title":"The Application of Julia Set in the Design of Textile Pattern","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Color perception and design","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Textile; Set (abstract data type); Julia set; Programming language; Composite material; Mathematics; Materials science; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718811,0.00008401588,0.0001080231,0.0000600514,0.00008940724,0.00001604382,0.0004568782,0.0000566809,0.00005879631],"category_scores_gemma":[3.118942e-7,0.00005629495,0.00005204009,0.0003336029,0.0001044275,0.00001858053,0.00002794574,0.0000915589,0.0001824211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543098,"about_ca_system_score_gemma":0.00001530616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003419417,"about_ca_topic_score_gemma":0.00008387779,"domain_scores_codex":[0.9990636,0.00015629,0.0003610527,0.0001861487,0.00009580746,0.0001370997],"domain_scores_gemma":[0.9989738,0.0003251581,0.0001492147,0.0004815641,0.0000578648,0.00001235226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004397026,0.0009428665,0.005523784,0.00002694748,0.00003183959,6.179875e-7,0.00458882,0.001081557,0.03934915,0.04085986,0.1034107,0.8041399],"study_design_scores_gemma":[0.0006848857,0.00007150046,0.2744046,0.000007373005,0.0000251511,0.00001774125,0.000662073,0.002579736,0.001033069,0.006517074,0.7138206,0.0001761561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007749359,0.0001064825,0.9879974,0.0005505255,0.00001279745,0.001297217,0.0000183386,0.00002196238,0.002245943],"genre_scores_gemma":[0.9919832,0.000005861785,0.005808205,0.0002777077,0.00009421544,0.001528676,0.00003372878,0.00001043535,0.0002580132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9842338,"threshold_uncertainty_score":0.2344715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432884517793132,"score_gpt":0.3092702933407064,"score_spread":0.2849414481627751,"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."}}