{"id":"W2953421850","doi":"10.1177/1059712319862774","title":"A tale of two densities: active inference is enactive inference","year":2019,"lang":"en","type":"article","venue":"Adaptive Behavior","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Australian Research Council; Canada First Research Excellence Fund; Social Sciences and Humanities Research Council of Canada; Wellcome Trust; Wellcome","keywords":"Inference; Free energy principle; Generative grammar; Interpretation (philosophy); Cognitive science; Computer science; Artificial intelligence; Bayesian inference; Conflation; Generative model; Epistemology; Machine learning; Psychology; Bayesian probability; Philosophy","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":[0.00006488212,0.0002180297,0.0002842623,0.0001319851,0.00008347134,0.00002511148,0.0002441106,0.00008388555,0.0006216411],"category_scores_gemma":[0.0001928409,0.0002084109,0.0001017536,0.0002764941,0.0002353222,0.0005842832,0.0001289373,0.0002783912,0.0005621219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000798137,"about_ca_system_score_gemma":0.0001349076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002027848,"about_ca_topic_score_gemma":0.0000247734,"domain_scores_codex":[0.9984348,0.0001069177,0.0002420034,0.0005206726,0.0003734024,0.0003221769],"domain_scores_gemma":[0.9986433,0.0004949658,0.0002176337,0.0003218709,0.0002336651,0.00008854755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004336347,0.0006876335,0.006716723,0.000026818,0.00002191337,0.000056475,0.007728893,0.00003136056,0.7819615,0.1763618,0.00005193486,0.0259213],"study_design_scores_gemma":[0.0009354837,0.000605419,0.01087117,0.0001018237,0.00007461812,0.00001454572,0.002114338,0.0002614335,0.9690065,0.0155814,0.00007046677,0.0003628143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494088,0.000008500862,0.0002829641,0.00002393882,0.000198801,0.0005255033,0.0002043358,0.00006081911,0.04928635],"genre_scores_gemma":[0.9984738,0.00001936955,0.000230118,0.000341181,0.00002817881,0.00009477772,0.000005288637,0.00002021432,0.0007870247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.187045,"threshold_uncertainty_score":0.8498749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05747332432810019,"score_gpt":0.329519605722772,"score_spread":0.2720462813946718,"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."}}