{"id":"W4297520977","doi":"10.1101/2022.09.27.509807","title":"Acclimating to degraded environments: The social rationale for swift action on restoration","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Stakeholder; Business; Recreation; Incentive; Environmental degradation; Government (linguistics); Environmental planning; Environmental resource management; Public participation; Adaptive management; Natural resource economics; Environmental science; Political science; Economics; 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":[0.006305912,0.0003633127,0.0003520763,0.0008642738,0.00532269,0.004907699,0.001501756,0.006076252,0.009279439],"category_scores_gemma":[0.01191279,0.0003159682,0.0005766675,0.0005557622,0.03027815,0.005558218,0.006534422,0.003822544,0.0004697922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008262423,"about_ca_system_score_gemma":0.00536144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008778569,"about_ca_topic_score_gemma":0.01443562,"domain_scores_codex":[0.9972465,0.001508733,0.00007287831,0.000380452,0.0003025517,0.0004889519],"domain_scores_gemma":[0.9911383,0.004114737,0.001706658,0.000777803,0.000879628,0.001382926],"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":[0.00005723943,0.0001157423,0.01183757,0.0001252977,0.00005156629,0.00073422,0.006138602,0.01484296,0.001230268,0.9433553,0.006600305,0.01491094],"study_design_scores_gemma":[0.0000281973,0.00007466999,0.00998114,0.0001681775,0.00003002491,0.0004036837,0.01066334,0.01753733,0.0005174237,0.9094513,0.05107529,0.00006932259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3691284,0.001851913,0.08397389,0.2242223,0.0005490571,0.0001802252,0.0001652526,0.0001857776,0.3197432],"genre_scores_gemma":[0.9925575,0.0002561479,0.00257899,0.001968885,0.00005410767,0.00004009216,0.000008772467,0.00001985527,0.002515609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009279439,"threshold_uncertainty_score":0.05994838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344455869747957,"score_gpt":0.2535454194342517,"score_spread":0.2201008607367721,"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."}}