{"id":"W4399010932","doi":"10.1038/s41467-024-48020-x","title":"Duality between predictability and reconstructability in complex systems","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Alliance de recherche numérique du Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Predictability; Duality (order theory); Computer science; Physics; Mathematics; Pure mathematics; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363202,0.0001277309,0.0004565298,0.0002187479,0.0001544272,0.0001869353,0.0004905933,0.0002158059,0.0001482837],"category_scores_gemma":[0.0001917001,0.000139271,0.00009667461,0.0006257794,0.0002181051,0.0002050648,0.0003050153,0.0006766015,0.00004745975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469276,"about_ca_system_score_gemma":0.00002293771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010318,"about_ca_topic_score_gemma":0.001959967,"domain_scores_codex":[0.9984567,0.0001177088,0.0008005521,0.0004117817,0.0000381338,0.0001751769],"domain_scores_gemma":[0.9978367,0.0004133431,0.00008716204,0.001549618,0.00004257465,0.00007057362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000140281,0.00002668681,0.5990133,0.0001171914,0.00005616246,4.904235e-7,0.0002372215,0.000003805927,0.000002776789,0.3993534,0.0005931669,0.0005943856],"study_design_scores_gemma":[0.0001145959,0.00001191214,0.7622713,0.00003381051,0.00001499497,0.000008577584,0.0002016583,0.01358382,5.996355e-7,0.01549407,0.2080882,0.0001764782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8021411,0.1364617,0.0005409016,0.007382041,0.0005382478,0.0008370596,0.002329031,0.0002563561,0.04951362],"genre_scores_gemma":[0.9984602,0.0004799044,0.0006765043,0.00002362864,0.0000621518,0.00004281416,0.0001435955,0.00001226877,0.00009892594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3838593,"threshold_uncertainty_score":0.5679305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07303634827422167,"score_gpt":0.2949485818920639,"score_spread":0.2219122336178422,"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."}}