{"id":"W1978976067","doi":"10.1111/ddi.12061","title":"Mapping ecological risks with a portfolio‐based technique: incorporating uncertainty and decision‐making preferences","year":2013,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Food Inspection Agency; Canadian Forest Service","funders":"Natural Resources Canada; U.S. Forest Service; National Institute of Food and Agriculture; Canadian Forest Service; Canadian Food Inspection Agency","keywords":"Stochastic dominance; Portfolio; Dominance (genetics); Computer science; Modern portfolio theory; Variance (accounting); Ecology; Econometrics; Risk analysis (engineering); Environmental resource management; Geography; Business; Economics; Biology; Financial economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004990209,0.0009010784,0.00105298,0.002175711,0.0004112694,0.002432644,0.001086289,0.001000796,0.002788652],"category_scores_gemma":[0.01434933,0.000593601,0.001030704,0.001622086,0.0006598756,0.002576425,0.001802318,0.001462698,0.0001877031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298571,"about_ca_system_score_gemma":0.00109511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073653,"about_ca_topic_score_gemma":0.003574982,"domain_scores_codex":[0.9974992,0.00164714,0.0001034179,0.0002705666,0.0003818528,0.00009785489],"domain_scores_gemma":[0.9912827,0.006913166,0.0006025724,0.0004261345,0.0005492892,0.0002262322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001040951,0.0001285337,0.005486345,0.00007616829,0.0002272306,0.0001096537,0.000312741,0.8721786,0.0009355569,0.02068085,0.000540701,0.09921964],"study_design_scores_gemma":[0.00000640724,0.00003434155,0.0006236866,0.00001287612,0.00001805201,0.00002193491,0.00004827708,0.9801714,0.0002207987,0.01852966,0.0003010689,0.00001148395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05332207,0.0001150383,0.9441333,0.0002723997,0.00001367859,0.00006072045,0.00007136451,0.00011899,0.001892501],"genre_scores_gemma":[0.646874,0.0001480924,0.3518435,0.00006527187,0.00003310784,0.0001450748,0.0001116729,0.00003900183,0.0007404328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004990209,"threshold_uncertainty_score":0.02639103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785693422812252,"score_gpt":0.2480793469702052,"score_spread":0.2202224127420827,"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."}}