{"id":"W1653679933","doi":"10.1007/978-3-642-01129-0_50","title":"Fractal Evolver: Interactive Evolutionary Design of Fractals with Grid Computing","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fractal; Computer science; Grid; Theoretical computer science; Computer graphics (images); Artificial intelligence; Mathematics; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005998346,0.0005526927,0.0006232618,0.0007570428,0.0003532429,0.0001832902,0.002669278,0.0002638585,0.00001859943],"category_scores_gemma":[0.00005111691,0.0004861466,0.0001332455,0.0008614127,0.0007967227,0.001076477,0.0007856163,0.0009220071,0.00002543395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903783,"about_ca_system_score_gemma":0.0009111917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003011238,"about_ca_topic_score_gemma":0.000006438925,"domain_scores_codex":[0.9961322,0.00005576819,0.0006694096,0.001439029,0.001119688,0.0005838818],"domain_scores_gemma":[0.9964279,0.0009665567,0.0006690873,0.001195931,0.0005713191,0.0001692062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003392835,0.0002166685,0.00009410652,0.00002853833,0.00004783689,0.00006687971,0.000808723,0.3797514,0.0003132977,0.01428546,0.0002076914,0.6041455],"study_design_scores_gemma":[0.0003232263,0.0007780609,0.00118388,0.0005945431,0.00001492666,0.000216429,6.329047e-7,0.9170326,0.0004914907,0.07795817,0.0007276647,0.0006783476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006044926,0.0005142695,0.9953711,0.0005148935,0.0004883219,0.0006203201,0.00001427259,0.0001453039,0.002271069],"genre_scores_gemma":[0.1726218,0.00003584892,0.8262956,0.0004312259,0.0004408954,0.000008761654,0.00001402424,0.00002627725,0.0001256342],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6034671,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338577695781335,"score_gpt":0.2435360815713256,"score_spread":0.2301503046135122,"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."}}