{"id":"W2086180499","doi":"10.1103/physreve.69.066121","title":"Measure of predictability","year":2004,"lang":"en","type":"article","venue":"Physical Review E","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predictability; Attractor; Measure (data warehouse); Entropy (arrow of time); Mathematics; Statistical physics; Series (stratigraphy); Time series; Applied mathematics; Chaotic; Computer science; Statistics; Data mining; Mathematical analysis; Artificial intelligence; Physics","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":[0.003544132,0.001005874,0.0009990742,0.005314282,0.000830028,0.002768339,0.000889754,0.001287095,0.003463726],"category_scores_gemma":[0.02299489,0.0002808671,0.0008293478,0.003511902,0.003670465,0.005175236,0.002502857,0.001536704,0.0005886722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389815,"about_ca_system_score_gemma":0.0006255231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007551275,"about_ca_topic_score_gemma":0.0003625434,"domain_scores_codex":[0.9974174,0.0006144127,0.0002713403,0.0004782109,0.001039628,0.00017895],"domain_scores_gemma":[0.9845285,0.009972461,0.002053255,0.001714514,0.001302329,0.0004289223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005695074,0.00003360584,0.008661118,0.0002899062,0.0002135501,0.0001906469,0.0005635169,0.0418934,0.001864437,0.8892972,0.003678468,0.05325718],"study_design_scores_gemma":[0.00001059654,0.00008619488,0.008642692,0.00009543433,0.0000520508,0.0002760565,0.0002443231,0.06694462,0.001013267,0.9076402,0.01492521,0.00006928529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1279422,0.007798416,0.8123115,0.003530467,0.0008145575,0.0001483081,0.002518802,0.0005940656,0.04434177],"genre_scores_gemma":[0.9402322,0.003508055,0.04928342,0.0003649262,0.001157717,0.0002868707,0.001404538,0.0001366344,0.003625585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005314282,"threshold_uncertainty_score":0.0187434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689529735414628,"score_gpt":0.2530460413923126,"score_spread":0.2161507440381663,"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."}}