{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003382822,0.000165736,0.0003753773,0.0003849374,0.0001632775,0.001802558,0.0006428518,0.00009245758,0.0003911381],"category_scores_gemma":[0.003229196,0.0001059631,0.0001715247,0.001335158,0.00007607962,0.0004681035,0.0002255951,0.0001850267,0.001663558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847899,"about_ca_system_score_gemma":0.0003367137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002739886,"about_ca_topic_score_gemma":0.00005647465,"domain_scores_codex":[0.9959968,0.0004111208,0.0008515765,0.0007549906,0.001670639,0.0003148208],"domain_scores_gemma":[0.9938572,0.004131092,0.0001254936,0.0009590872,0.0007879967,0.0001391114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003777745,0.00004368911,0.001279057,0.0001426652,0.00005719925,0.0001298291,0.002501648,0.004979266,0.0002592024,0.8064903,0.07313555,0.1109438],"study_design_scores_gemma":[0.0001094418,0.00004509936,0.007480436,0.0001406701,0.000006497954,0.00005132372,0.01257593,0.05097302,0.00001401735,0.4131941,0.5151653,0.0002440879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1727789,0.01836023,0.6829852,0.002617442,0.02096412,0.001990366,0.00009323542,0.0009746556,0.0992358],"genre_scores_gemma":[0.9775875,0.00000127233,0.00003345703,0.00002955974,0.0001984716,0.00003568215,5.41319e-7,0.00001327239,0.02210023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8048086,"threshold_uncertainty_score":0.9992337,"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."}}