{"id":"W2573227375","doi":"10.1111/1365-2664.12855","title":"Solving environmental problems in the Anthropocene: the need to bring novel theoretical advances into the applied ecology fold","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Environmental Philosophy and Ethics","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anthropocene; Convention on Biological Diversity; Relevance (law); Ecology; Convention; Earth system science; Environmental ethics; Environmental resource management; Biodiversity; Geography; Political science; Biology; Environmental science; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002401318,0.0002466205,0.000334789,0.00004234178,0.001210267,0.00009808452,0.001996114,0.0001989546,0.000614025],"category_scores_gemma":[0.00007751336,0.0001293475,0.0001076995,0.00008291153,0.003089173,0.000205859,0.0008964636,0.00107139,0.0002315596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794247,"about_ca_system_score_gemma":0.00001768797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002319696,"about_ca_topic_score_gemma":0.0003462723,"domain_scores_codex":[0.9979618,0.0001013333,0.000580436,0.000321426,0.0004672216,0.0005678179],"domain_scores_gemma":[0.9980779,0.0006485741,0.0005417824,0.0006252419,0.000002790076,0.0001036987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001519326,0.003274538,0.2791956,0.00007133568,0.0003398048,0.0001346048,0.05329502,0.1465074,0.1939457,0.2800522,0.002265811,0.03939866],"study_design_scores_gemma":[0.002114719,0.0006907291,0.7721643,0.00002090117,0.0001089446,0.0002153381,0.007326928,0.0003700386,0.003084198,0.2014979,0.01191314,0.000492838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363084,0.0000716457,0.0003377205,0.02531976,0.0004144002,0.0008103946,0.000002723559,0.000006720532,0.03672817],"genre_scores_gemma":[0.9939309,0.0002342872,0.0007455413,0.004770366,0.0002396227,0.00004385463,9.341996e-7,0.0000222998,0.00001221343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4929687,"threshold_uncertainty_score":0.9996238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063663112592346,"score_gpt":0.2452936975372376,"score_spread":0.2346570664113142,"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."}}