{"id":"W4394039702","doi":"10.5281/zenodo.4778711","title":"Maximally Predictive Ensemble Dynamics from Data","year":2021,"lang":"en","type":"dataset","venue":"VU Research Portal","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Dynamics (music); Computer science; Physics","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":[0.001248881,0.002802779,0.001040514,0.002155809,0.0006834529,0.00157833,0.002458447,0.001822341,0.03400752],"category_scores_gemma":[0.006476909,0.0005575268,0.001927449,0.0022935,0.0004836454,0.001062874,0.001703927,0.002417509,0.04166002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074081,"about_ca_system_score_gemma":0.001220058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089927,"about_ca_topic_score_gemma":0.01909534,"domain_scores_codex":[0.9992408,0.0001884937,0.00005329425,0.0001850294,0.0002312003,0.0001012963],"domain_scores_gemma":[0.9981651,0.0005620841,0.00008506596,0.0007388126,0.0003483751,0.0001005566],"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":[0.0002092358,0.0001254043,0.001161885,0.0006071859,0.0001193683,0.00006436095,0.00003485815,0.01328317,0.0004740447,0.001973144,0.9662793,0.01566795],"study_design_scores_gemma":[0.001199744,0.0002704491,0.009805524,0.000501977,0.0001685287,0.0004066874,0.0001342086,0.1072218,0.00558488,0.0233731,0.8511725,0.0001605845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004927579,0.0004917193,0.00530122,0.0003712272,0.0003277581,0.0001140163,0.9758787,0.008104359,0.004483392],"genre_scores_gemma":[0.006686004,0.0001401372,0.004499928,0.00006928988,0.00002490659,0.0002334102,0.9862592,0.0003384812,0.001748745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03400752,"threshold_uncertainty_score":0.1137665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097553022455365,"score_gpt":0.3848391323224565,"score_spread":0.2750838300769199,"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."}}