{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00685996,0.001038759,0.0009928397,0.002282236,0.001482132,0.003413175,0.00291057,0.002361263,0.00552493],"category_scores_gemma":[0.02798105,0.0005835635,0.00183092,0.001138205,0.008776221,0.01063677,0.004645725,0.004059108,0.0005724178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025706,"about_ca_system_score_gemma":0.001215133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002189103,"about_ca_topic_score_gemma":0.001368623,"domain_scores_codex":[0.9963211,0.001433223,0.0002238227,0.001009387,0.0007531467,0.0002594189],"domain_scores_gemma":[0.9752337,0.0194006,0.001440255,0.002400479,0.001036573,0.0004883693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002110939,0.00001394288,0.0006660581,0.0001048475,0.00004491452,0.00008088362,0.0004113513,0.02003472,0.0003965207,0.9673426,0.0004547563,0.0104283],"study_design_scores_gemma":[0.000006225376,0.000008477911,0.00009818801,0.00002763233,0.00001160206,0.00004167899,0.0000502549,0.0482037,0.000252125,0.949757,0.001532498,0.00001067912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01599287,0.000994576,0.9633766,0.003387583,0.0001129478,0.00004307952,0.0001459311,0.0002636815,0.01568267],"genre_scores_gemma":[0.8389876,0.001263068,0.1522674,0.0009299635,0.0003843713,0.0002180505,0.0003004091,0.0001509139,0.005498215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00685996,"threshold_uncertainty_score":0.03627938,"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."}}