{"id":"W4388469871","doi":"10.1137/1.9781611977509.ch7","title":"CHAPTER SEVEN: CHAOS GAME REPRESENTATION","year":2023,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Spurious relationship; Computer science; Representation (politics); Path (computing); Artificial intelligence; Cognitive science; Psychology; Machine learning; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001271463,0.0005744009,0.0003066708,0.0004149572,0.0006476716,0.001730249,0.0006609027,0.0007348382,0.0644842],"category_scores_gemma":[0.0005929461,0.0002125786,0.0003615885,0.0004966134,0.0006670054,0.001524344,0.0006804363,0.001581666,0.01391178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173852,"about_ca_system_score_gemma":0.000534119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481513,"about_ca_topic_score_gemma":0.002452238,"domain_scores_codex":[0.9999175,0.00001610041,0.000003952936,0.00001717958,0.00003543708,0.000009860456],"domain_scores_gemma":[0.9999244,0.00003085129,0.000003538247,0.00001109059,0.00001894762,0.00001111995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002110965,0.00004921885,0.00009326175,0.0001927543,0.000008241006,0.00007169609,0.0002411384,0.006478401,0.0008099581,0.6887698,0.1892639,0.1140006],"study_design_scores_gemma":[0.000006228108,0.00002009714,0.0001314499,0.0002081126,0.000004528647,0.0001666934,0.00009414335,0.009277665,0.0007522972,0.2705578,0.7187682,0.00001297257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002917296,0.0110799,0.1114635,0.004858319,0.00191651,0.0001476025,0.0006681332,0.0009091834,0.8660396],"genre_scores_gemma":[0.07645627,0.01401374,0.04713133,0.001258184,0.001019122,0.0002759667,0.001092539,0.0006017233,0.8581512],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0644842,"threshold_uncertainty_score":0.2157212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113620855719248,"score_gpt":0.2727704026849453,"score_spread":0.1591495469656973,"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."}}