{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365899,0.003177586,0.00115999,0.002308641,0.0007842167,0.001770215,0.002961911,0.002221413,0.03941884],"category_scores_gemma":[0.007476281,0.000659802,0.002426572,0.002547407,0.0005519917,0.001137384,0.001947237,0.002619486,0.04709849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173798,"about_ca_system_score_gemma":0.001291295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137156,"about_ca_topic_score_gemma":0.02043095,"domain_scores_codex":[0.9991583,0.0002179496,0.00006325393,0.000213774,0.0002351851,0.0001115418],"domain_scores_gemma":[0.9978259,0.0007039981,0.00009865449,0.0008720959,0.0003844055,0.0001148694],"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":[0.0001990813,0.0001036977,0.00106257,0.0006887367,0.0001374135,0.00006049478,0.00003105668,0.01234424,0.0003680211,0.001631194,0.9707422,0.01263136],"study_design_scores_gemma":[0.001316943,0.0002671262,0.009371578,0.000618658,0.0002067083,0.0004100835,0.000127919,0.08870237,0.004718164,0.02355342,0.8705234,0.0001836039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003267155,0.0004470559,0.003717046,0.0003214552,0.0002836292,0.00009908202,0.9815171,0.007352863,0.002994474],"genre_scores_gemma":[0.005346119,0.0001356839,0.003857314,0.00007556248,0.00002272305,0.0002491773,0.9886329,0.0003446089,0.001335936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03941884,"threshold_uncertainty_score":0.1318692,"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."}}