{"id":"W4388470059","doi":"10.1137/1.9781611977509.r4","title":"REPORTS ON ACTIVITIES R4: REPORTS ON JULIA SET ACTIVITIES","year":2023,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Python (programming language); Computer science; Set (abstract data type); Subject (documents); Julia set; Programming language; Computer graphics (images); Mathematics; World Wide Web; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01348263,0.003089978,0.002079951,0.009219845,0.002351128,0.01498926,0.00445959,0.002764577,0.4455342],"category_scores_gemma":[0.0453038,0.001255001,0.002464928,0.007158781,0.0008236678,0.00503453,0.007916451,0.003530117,0.596685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590952,"about_ca_system_score_gemma":0.01333213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198679,"about_ca_topic_score_gemma":0.009659185,"domain_scores_codex":[0.9842026,0.002091257,0.0007698027,0.001233144,0.01067904,0.001024138],"domain_scores_gemma":[0.9480701,0.005482463,0.00173031,0.007133642,0.03148055,0.006102874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006014306,0.00002525997,0.0001156398,0.0001688825,0.000008094974,0.000009571077,0.00001807333,0.0001719758,0.0001576469,0.001883428,0.9783573,0.0190238],"study_design_scores_gemma":[0.00002566293,0.00003123489,0.0003254157,0.000133582,0.000009520337,0.0000148572,0.00002725504,0.00031279,0.0007236936,0.001455822,0.9969207,0.00001953625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001484591,0.003508792,0.02360273,0.01360608,0.02006651,0.002879076,0.2629923,0.03708183,0.6347781],"genre_scores_gemma":[0.005858874,0.004007016,0.02142576,0.002292177,0.004683223,0.003844046,0.2801492,0.0278466,0.6498931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4455342,"threshold_uncertainty_score":0.7908782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08417849422666941,"score_gpt":0.2721357836399419,"score_spread":0.1879572894132725,"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."}}