{"id":"W1991910584","doi":"10.1111/ddi.12060","title":"Risks, decisions and biological conservation","year":2013,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Biosecurity; Threatened species; Context (archaeology); Futures studies; Variety (cybernetics); Conservation biology; Management science; Environmental resource management; Data science; Environmental planning; Risk analysis (engineering); Ecology; Computer science; Geography; Business; Biology; Engineering; Economics","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":[0.009924089,0.0009514195,0.00098807,0.001479948,0.002518857,0.01456525,0.001184061,0.005340471,0.008418397],"category_scores_gemma":[0.01942985,0.000355719,0.000517012,0.001341486,0.02682853,0.008251661,0.003348615,0.006778998,0.00111434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004998998,"about_ca_system_score_gemma":0.003891906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371887,"about_ca_topic_score_gemma":0.002294452,"domain_scores_codex":[0.9903661,0.006004413,0.0003920964,0.0008153153,0.002029105,0.0003929425],"domain_scores_gemma":[0.9848534,0.01089617,0.00117403,0.0008464342,0.001643003,0.0005869999],"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":[0.00001718575,0.00001697412,0.0003548565,0.0002564068,0.00004099476,0.00007791141,0.001267525,0.001293813,0.00009457485,0.9349353,0.03473486,0.02690967],"study_design_scores_gemma":[0.000006348728,0.00001422021,0.0003414645,0.0005309,0.00001349612,0.00009628839,0.00108651,0.0005412957,0.00006851261,0.808777,0.188506,0.00001793584],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007019044,0.1524498,0.03444309,0.5193309,0.01628255,0.00007876872,0.0001668355,0.00009974217,0.2701293],"genre_scores_gemma":[0.6468258,0.1391012,0.02305888,0.073298,0.03306487,0.0002974921,0.0002163876,0.0001661269,0.08397129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01456525,"threshold_uncertainty_score":0.05248421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113720368668459,"score_gpt":0.2592381168702785,"score_spread":0.1455177482018195,"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."}}