{"id":"W2178252354","doi":"10.1071/mf15111","title":"New approaches to the ecological risk assessment of multiple stressors","year":2016,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Commonwealth Scientific and Industrial Research Organisation; Great Barrier Reef Marine Park Authority; NSW Office of Environment and Heritage","keywords":"Stressor; Scale (ratio); Environmental resource management; Ecology; Environmental planning; Risk analysis (engineering); Geography; Biology; Environmental science; Business","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":[0.01791718,0.003423652,0.002398728,0.007642,0.001525928,0.007772963,0.005392222,0.002893179,0.005440869],"category_scores_gemma":[0.01941151,0.001193583,0.003867551,0.003449548,0.00558869,0.008947907,0.00892579,0.008402593,0.0007053051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005638667,"about_ca_system_score_gemma":0.003854868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557862,"about_ca_topic_score_gemma":0.007593264,"domain_scores_codex":[0.9892106,0.005146731,0.0007227372,0.001400297,0.003223895,0.0002956703],"domain_scores_gemma":[0.9797968,0.01228942,0.002234225,0.001751338,0.003050306,0.0008779692],"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":[0.00006723252,0.0002591698,0.004999281,0.00133727,0.0008022271,0.0003481075,0.0015229,0.1815354,0.00134477,0.6634085,0.006702303,0.1376728],"study_design_scores_gemma":[0.00002018937,0.00007623198,0.001173796,0.0003485758,0.0001019683,0.0001998975,0.0005553155,0.1109173,0.0002181055,0.8669776,0.01931817,0.00009293436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00521699,0.005482324,0.9625879,0.009835198,0.0006092367,0.000215457,0.0003100433,0.0001526741,0.01559011],"genre_scores_gemma":[0.1845925,0.01334584,0.7874655,0.002039325,0.00213631,0.001136989,0.0004729724,0.0001478384,0.008662722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01791718,"threshold_uncertainty_score":0.09475619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246384075940675,"score_gpt":0.30165184148319,"score_spread":0.1770134338891225,"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."}}