{"id":"W4388679271","doi":"10.55161/svvo2555","title":"NINE WAYS TO AVOID THE AMAZON TIPPING POINT","year":2023,"lang":"en","type":"report","venue":"","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Universidade do Estado do Amazonas","keywords":"Tipping point (physics); Amazon rainforest; Deforestation (computer science); Climate change; Geography; Amazonian; Natural resource economics; Greenhouse gas; Global warming; Environmental resource management; Environmental science; Agroforestry; Ecology; Economics; Computer science","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":[0.002489679,0.0005766224,0.0003805524,0.0007365903,0.00426692,0.004898842,0.00253238,0.004861192,0.01802934],"category_scores_gemma":[0.00739154,0.000334719,0.0007909265,0.0007670098,0.004150966,0.004849686,0.005618718,0.005623176,0.002725247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658516,"about_ca_system_score_gemma":0.007423951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005306841,"about_ca_topic_score_gemma":0.0239663,"domain_scores_codex":[0.9973035,0.0007291095,0.0001799968,0.0002546091,0.0008203714,0.0007125054],"domain_scores_gemma":[0.9969639,0.0004695965,0.0003714478,0.0005122382,0.0006712503,0.001011565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002084321,0.0004435303,0.008925003,0.001456421,0.0001435212,0.001471708,0.006437536,0.001234238,0.005226532,0.3287731,0.1958375,0.4498426],"study_design_scores_gemma":[0.00009553993,0.0002792095,0.006858078,0.001130241,0.00008456285,0.001074802,0.01320079,0.0006573804,0.002153268,0.1371475,0.8372167,0.0001019912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07625413,0.03091013,0.05494678,0.3953414,0.0120841,0.0008178739,0.0005148867,0.001431259,0.4276996],"genre_scores_gemma":[0.7218956,0.01927906,0.08198967,0.04237546,0.001596302,0.000765302,0.0005714698,0.000554909,0.1309722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01802934,"threshold_uncertainty_score":0.06031412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452167966492889,"score_gpt":0.2895604122045473,"score_spread":0.2350387325396184,"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."}}