{"id":"W1272961585","doi":"10.1071/mf15330","title":"New diagnostics for multiply stressed marine and freshwater ecosystems: integrating models, ecoinformatics and big data","year":2015,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Council; University of New South Wales; Commonwealth Scientific and Industrial Research Organisation; NSW Office of Environment and Heritage","keywords":"Biogeochemistry; Estuary; Freshwater ecosystem; Marine ecosystem; Coral; Ecosystem; Oceanography; Biology; Ecology; Environmental science; Fishery; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00705464,0.001820506,0.001483861,0.007033502,0.0005432661,0.004564595,0.001977776,0.001758543,0.001835516],"category_scores_gemma":[0.03617577,0.0006494261,0.001199345,0.004208142,0.0008638408,0.007171003,0.003327301,0.001489999,0.0003281966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542045,"about_ca_system_score_gemma":0.002203326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009902224,"about_ca_topic_score_gemma":0.01272749,"domain_scores_codex":[0.9976011,0.00124709,0.0002570898,0.0003848172,0.0003830933,0.0001268574],"domain_scores_gemma":[0.9757801,0.0156006,0.003371636,0.002330264,0.001915219,0.00100219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004867245,0.0003938885,0.6377764,0.0006008254,0.001193887,0.0003796335,0.0003961851,0.2142798,0.00140809,0.01820511,0.009406192,0.1154732],"study_design_scores_gemma":[0.00004427395,0.00009231515,0.03972657,0.0001558608,0.0002072993,0.0001929752,0.0008276621,0.8604515,0.0009237984,0.09531657,0.001991443,0.00006973732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5416943,0.004700597,0.4191975,0.01305274,0.0003939021,0.0003656263,0.01285114,0.002232382,0.005511779],"genre_scores_gemma":[0.9270712,0.0007171098,0.06769763,0.0005173941,0.0001437712,0.00009615241,0.003328643,0.00009031365,0.0003376997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009902224,"threshold_uncertainty_score":0.03730893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2094675037778765,"score_gpt":0.2962315200665786,"score_spread":0.08676401628870209,"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."}}