{"id":"W4407396121","doi":"10.1139/facets-2024-0099","title":"Ratchet effects revisited: power effects and systematic bias in natural resource management","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ratchet; Ratchet effect; Power (physics); Resource (disambiguation); Computer science; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003609968,0.0001626752,0.0002257648,0.00009385905,0.0000684099,0.00004303387,0.0001603327,0.00004177945,0.00008310337],"category_scores_gemma":[0.00004261763,0.0001416702,0.0000343331,0.0002979956,0.00006263587,0.0001069201,0.0004481153,0.0001085559,0.0002649603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834821,"about_ca_system_score_gemma":0.000001043092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003148706,"about_ca_topic_score_gemma":0.00002987187,"domain_scores_codex":[0.9988018,0.0001859111,0.0002250528,0.0003415089,0.0002266728,0.0002190002],"domain_scores_gemma":[0.9994553,0.0001389258,0.00005804643,0.0002976029,0.000001007566,0.00004906976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002133181,0.001069633,0.5872042,0.1147252,0.0005940433,0.0008311414,0.003328266,0.001375384,0.01348993,0.01834651,0.2433802,0.01544219],"study_design_scores_gemma":[0.00154541,0.0000605977,0.9686967,0.003936545,0.00007822507,0.000002737527,0.0003239307,0.0007410154,0.0009108325,0.0003291206,0.02305523,0.0003197286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505534,0.001007727,0.0001875137,0.00122133,0.0001716259,0.002421633,7.973583e-7,0.00006671203,0.04436932],"genre_scores_gemma":[0.9865444,0.00004391695,0.0003134416,0.004591808,0.000002226679,0.0001179563,0.000004684414,0.000008820246,0.008372785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3814924,"threshold_uncertainty_score":0.5777143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004740849344890686,"score_gpt":0.2141541062813613,"score_spread":0.2094132569364706,"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."}}