{"id":"W3136370452","doi":"10.1016/j.plrev.2021.09.001","title":"The Markov blanket trick: On the scope of the free energy principle and active inference","year":2021,"lang":"en","type":"review","venue":"Physics of Life Reviews","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Charles Phelps Taft Research Center; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Free energy principle; Inference; Computer science; Markov blanket; Markov process; Artificial intelligence; Bayesian inference; Markov chain; Mathematical economics; Cognitive science; Bayesian probability; Machine learning; Markov model; Mathematics; Markov property; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005863085,0.0003372686,0.001345709,0.00002320976,0.0002217973,0.0000571693,0.001175462,0.00007556818,0.000009481811],"category_scores_gemma":[0.004224456,0.0001311412,0.0006205676,0.0007326203,0.0002794742,0.00006994537,0.0006468761,0.0004022133,0.000005152897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003008568,"about_ca_system_score_gemma":0.0002783176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001458874,"about_ca_topic_score_gemma":0.000009640239,"domain_scores_codex":[0.9967597,0.001469128,0.000758512,0.0004189686,0.000396217,0.0001975504],"domain_scores_gemma":[0.9933941,0.003573902,0.0015039,0.001409782,0.0000704991,0.00004775349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004272476,0.00004346485,6.620483e-7,0.001914445,0.00002156458,2.786744e-7,0.000009221406,6.923894e-7,0.00005417527,0.06747827,0.0008873505,0.9295856],"study_design_scores_gemma":[0.00005698027,0.00004455555,0.000004934158,0.006364771,0.0001490509,0.000002189706,0.000002140259,0.00002966951,0.000308797,0.00151215,0.991387,0.0001377957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002899381,0.9954081,0.00003360176,0.0002671326,0.0003297547,0.0009901767,0.0001038137,0.000005625525,0.00283282],"genre_scores_gemma":[0.0001356549,0.9988251,0.000008761187,0.0003898906,0.0001455196,0.0001018805,0.00000507697,0.00002479258,0.0003633473],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9904996,"threshold_uncertainty_score":0.5347782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225812707467819,"score_gpt":0.3464434096753208,"score_spread":0.2238621389285389,"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."}}