{"id":"W4308842258","doi":"10.31234/osf.io/vehq2","title":"Resilience and Active Inference","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Wellcome Trust","keywords":"Inference; Resilience (materials science); Computer science; Redundancy (engineering); Inertia; Adaptability; Theoretical computer science; Cognitive science; Artificial intelligence; Mathematics; Psychology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000199784,0.0001873718,0.0001875056,0.00003178193,0.0002004183,0.00005757824,0.0005384953,0.0001063889,0.007382755],"category_scores_gemma":[0.00004772077,0.0001605964,0.00004120981,0.0001154004,0.0002067298,0.00008734561,0.005566397,0.0005025928,0.0001037663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987564,"about_ca_system_score_gemma":0.0000300856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733977,"about_ca_topic_score_gemma":0.0008146816,"domain_scores_codex":[0.9984746,0.00006540239,0.0001863483,0.0006860046,0.0003541606,0.0002335016],"domain_scores_gemma":[0.9992271,0.00008516934,0.000120709,0.0004525476,0.000004540128,0.0001099466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007095812,0.0003051297,0.7428629,0.0003138025,0.00006111951,0.0001246016,0.003836869,0.1657245,0.00276513,0.01103146,0.002716453,0.07018711],"study_design_scores_gemma":[0.0003315629,0.0002044034,0.8033599,0.0001189915,0.00004152497,0.00003322325,0.001670892,0.1520563,0.0004104004,0.02304314,0.017121,0.001608609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7908909,0.00006238652,0.0007552585,0.0001951881,0.0002776962,0.0003323067,0.00003287226,0.00005387317,0.2073995],"genre_scores_gemma":[0.9935117,0.0002167951,0.001091269,0.000115785,0.00001228147,0.00007045249,0.000008282773,0.0000108142,0.00496265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2026207,"threshold_uncertainty_score":0.9935246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439738045602412,"score_gpt":0.2451080546334873,"score_spread":0.2376683165878849,"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."}}