{"id":"W4396697057","doi":"10.20944/preprints202405.0113.v1","title":"Sustainability under Active Inference","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","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":"Inference; Sustainability; Computer science; Artificial intelligence; Ecology","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":[0.006792566,0.0009931533,0.001268418,0.001728995,0.002060168,0.004791698,0.00241643,0.002924242,0.008142027],"category_scores_gemma":[0.02846778,0.0006719108,0.002121642,0.001038285,0.006227053,0.009089713,0.004647562,0.003734418,0.000721015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003051841,"about_ca_system_score_gemma":0.002091631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003939454,"about_ca_topic_score_gemma":0.002694687,"domain_scores_codex":[0.9957352,0.001674345,0.0002360887,0.001325603,0.0006674955,0.0003613045],"domain_scores_gemma":[0.9785756,0.0164725,0.001462103,0.001710737,0.001300751,0.0004782178],"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":[0.00003422508,0.0000274736,0.001557917,0.000156922,0.00006455351,0.0001733856,0.0003286286,0.0354121,0.0002555031,0.9472849,0.001620262,0.01308405],"study_design_scores_gemma":[0.000008884149,0.000007906293,0.0001358334,0.00003505923,0.00001587253,0.00004555076,0.00006274625,0.06028646,0.0001489613,0.9365782,0.002663917,0.00001056235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04650299,0.00263933,0.8721182,0.01369648,0.0003974333,0.0001294138,0.0007841865,0.0004074647,0.06332447],"genre_scores_gemma":[0.8835051,0.002022287,0.0993187,0.001992807,0.0006776897,0.0003330817,0.0007857924,0.0002235058,0.01114109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008142027,"threshold_uncertainty_score":0.03592294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4341677077781857,"score_gpt":0.5149360410772799,"score_spread":0.08076833329909416,"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."}}