{"id":"W4396674227","doi":"10.3390/systems12050163","title":"Sustainability under Active Inference","year":2024,"lang":"en","type":"article","venue":"Systems","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sustainability; Inference; Computer science; Business; Artificial intelligence; Ecology; Biology","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":[0.006837347,0.001033187,0.001369352,0.001788853,0.002055526,0.004824085,0.002590154,0.003023758,0.007878637],"category_scores_gemma":[0.03031889,0.0007239629,0.002296099,0.001110978,0.006178693,0.009071015,0.004662303,0.003806318,0.0007159461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165419,"about_ca_system_score_gemma":0.002193353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004590646,"about_ca_topic_score_gemma":0.003090434,"domain_scores_codex":[0.9956626,0.001682573,0.0002419403,0.001387823,0.0006726124,0.0003525069],"domain_scores_gemma":[0.9758968,0.01884382,0.001610648,0.001742961,0.001396526,0.0005092438],"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":[0.00003803898,0.00003043765,0.001794436,0.0001820847,0.00007702396,0.0001869004,0.0003462162,0.04554496,0.0002680526,0.93587,0.001804725,0.01385712],"study_design_scores_gemma":[0.000009802126,0.000007908798,0.0001523544,0.00003861208,0.00001758968,0.00004745134,0.00006014341,0.07376171,0.0001446291,0.9232574,0.00249076,0.00001176513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04337112,0.002670929,0.8869377,0.01263395,0.0003732743,0.0001265501,0.0008172491,0.0003832266,0.0526861],"genre_scores_gemma":[0.8744622,0.002182507,0.1086021,0.002084982,0.0007156587,0.0003659098,0.0009111999,0.0002463474,0.01042911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007878637,"threshold_uncertainty_score":0.03615981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1833007899182748,"score_gpt":0.4698249594872465,"score_spread":0.2865241695689716,"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."}}