{"id":"W2038144827","doi":"10.1002/etc.2047","title":"Ecological risk assessment in the context of global climate change","year":2012,"lang":"en","type":"review","venue":"Environmental Toxicology and Chemistry","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Stressor; Climate change; Context (archaeology); Environmental resource management; Adaptive management; Risk assessment; Risk management; Global warming; Environmental science; Risk analysis (engineering); Ecology; Computer science; Business; Geography; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005070379,0.0002915083,0.0006752894,0.000005838447,0.0001082008,0.000009141008,0.0004086489,0.0004857405,0.001117104],"category_scores_gemma":[0.000006264314,0.0001859766,0.0001500616,0.00007912129,0.0005760468,0.00005947263,0.0004832351,0.0004835465,0.00006501933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309393,"about_ca_system_score_gemma":0.000009302944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002136349,"about_ca_topic_score_gemma":0.00005832652,"domain_scores_codex":[0.9983734,0.0002307587,0.0004368284,0.0003904865,0.0001780088,0.0003904888],"domain_scores_gemma":[0.9991255,0.0001338149,0.0003807964,0.000278365,3.701567e-7,0.00008119646],"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":[0.000008834106,0.001327675,0.2685509,0.002450261,0.00005540521,0.00005349842,0.0002210989,0.000002072657,0.00007899992,0.0001622151,0.00003742708,0.7270516],"study_design_scores_gemma":[0.001045591,0.0003815575,0.4604743,0.001317862,0.001238394,0.0008881881,0.001872508,0.000145823,0.00002373719,0.0002512356,0.5309055,0.00145535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1096462,0.8825436,8.308735e-7,0.00002876049,0.00009496033,0.0006471567,0.0003812101,0.000006761966,0.006650511],"genre_scores_gemma":[0.3699979,0.6297329,0.0000216295,0.00004244377,0.00003368023,0.0001296407,0.00002361829,0.000006168329,0.00001194114],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7255962,"threshold_uncertainty_score":0.999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786593855442978,"score_gpt":0.2793118105969969,"score_spread":0.2614458720425671,"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."}}