{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007007438,0.0006566779,0.001209664,0.0008754156,0.0002521155,0.0006822972,0.00344634,0.0006138491,0.006571309],"category_scores_gemma":[0.01813958,0.0005141576,0.0008097857,0.001143063,0.0002850316,0.0002240281,0.02257271,0.002329222,0.01623683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008935214,"about_ca_system_score_gemma":0.00155461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006911445,"about_ca_topic_score_gemma":0.0001704514,"domain_scores_codex":[0.9896431,0.0008726529,0.002111418,0.003446248,0.003241017,0.0006855716],"domain_scores_gemma":[0.9871321,0.003763991,0.0008700039,0.005471849,0.002401222,0.0003608538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004805156,0.0006518979,0.5527753,0.0008270466,0.0006434134,0.0003655938,0.01192541,0.03452828,0.001123658,0.3141196,0.01181376,0.07074554],"study_design_scores_gemma":[0.0001078438,0.000009877568,0.2491435,0.0001576102,0.00002731994,0.000008034548,0.001641043,0.001682243,0.0003726666,0.7272359,0.01919878,0.0004152702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182441,0.0005827588,0.00701719,0.00224613,0.004495516,0.001316473,0.00008490167,0.0004160118,0.06559689],"genre_scores_gemma":[0.9792261,0.000008197103,0.0001303861,0.0001551653,0.000378524,0.0001815222,0.000004720262,0.00005130834,0.01986407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131162,"threshold_uncertainty_score":0.9999725,"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."}}