{"id":"W2155972767","doi":"10.3390/su5104444","title":"Tailoring Global Data to Guide Corporate Investments in Biodiversity, Environmental Assessments and Sustainability","year":2013,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Robertson Foundation; Barrick Gold Corporation; Nature Conservancy; Dow Chemical Company","keywords":"Biodiversity; Sustainability; Biome; Environmental resource management; Threatened species; Business; Environmental data; Scale (ratio); Environmental planning; Prioritization; Habitat; Geography; Ecology; Environmental science; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01038557,0.000914047,0.0005847951,0.01257824,0.0005778056,0.003549228,0.001200556,0.0007235035,0.005982564],"category_scores_gemma":[0.04270009,0.000453536,0.0005934533,0.0219643,0.0005968127,0.006941951,0.003190188,0.001362152,0.001582635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570438,"about_ca_system_score_gemma":0.002165094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599227,"about_ca_topic_score_gemma":0.0335638,"domain_scores_codex":[0.9967899,0.001448511,0.0004570868,0.0004064568,0.0006649458,0.0002330545],"domain_scores_gemma":[0.9623064,0.01808794,0.005627917,0.007090153,0.005890157,0.0009972986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001834881,0.0004387115,0.4925115,0.001177357,0.0004157474,0.0002401612,0.001572279,0.0407154,0.003234028,0.03600665,0.06562787,0.3578769],"study_design_scores_gemma":[0.0001358894,0.0001994976,0.4730155,0.001978241,0.0002941001,0.0002397781,0.01304306,0.08442834,0.01325099,0.1118018,0.3011872,0.0004256526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4030757,0.001552448,0.1741034,0.01173122,0.000352924,0.0008111242,0.3259646,0.005381255,0.07702726],"genre_scores_gemma":[0.5860994,0.001067526,0.2436746,0.00060346,0.0000653889,0.0008455555,0.1641958,0.001043965,0.002404368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599227,"threshold_uncertainty_score":0.05492479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385228520258283,"score_gpt":0.28817069381881,"score_spread":0.2496478417929817,"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."}}