{"id":"W3163997880","doi":"10.5281/zenodo.4778712","title":"Maximally Predictive Ensemble Dynamics from Data","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000233584,0.0002293072,0.0002315676,0.00003878102,0.0001114484,0.000405568,0.004979165,0.0002148174,0.02115515],"category_scores_gemma":[0.0001625054,0.0002286021,0.00005616568,0.0003273295,0.000004885751,0.0003402669,0.004566621,0.0004430317,0.002520093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004816331,"about_ca_system_score_gemma":0.0002157997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009172146,"about_ca_topic_score_gemma":0.0005444401,"domain_scores_codex":[0.9982674,0.0000378601,0.0002028745,0.0009629128,0.000281977,0.00024705],"domain_scores_gemma":[0.9955273,0.0002062068,0.0001783963,0.003873759,0.0001055862,0.0001087947],"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":[5.670332e-7,0.00002743129,7.796923e-8,0.0000261269,0.00002260987,0.00006260379,0.00000170175,0.00002094283,2.64049e-7,0.00001142544,0.9965166,0.003309631],"study_design_scores_gemma":[0.00005067825,0.00001090165,0.00002106924,0.0005872761,0.00001353864,0.000006867046,0.000001565213,0.05817445,0.000003400695,0.0001332591,0.9407759,0.000221133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.577863e-8,0.0003653677,0.001308318,0.0002345212,0.0001620028,0.0001917952,0.9974589,0.00009263073,0.000186348],"genre_scores_gemma":[0.000001877428,0.00006082941,0.001732966,0.0004622051,0.0004442557,0.0001379903,0.9970704,0.00001247408,0.00007701106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0581535,"threshold_uncertainty_score":0.9982566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05826156934329475,"score_gpt":0.276793479839955,"score_spread":0.2185319104966603,"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."}}