{"id":"W7074733723","doi":"","title":"Planning for coexistence : assessing predictors of human-carnivore conflict on Southern Vancouver Island","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Habitat; Distribution (mathematics); Human–wildlife conflict; Natural (archaeology); Agriculture; Rural area","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006394559,0.0003394349,0.000241406,0.00079196,0.001821601,0.00126556,0.001070756,0.0004204822,0.001420289],"category_scores_gemma":[0.002263895,0.0003233896,0.0002408993,0.001123347,0.0004343702,0.0002904722,0.0009190885,0.0007469438,0.0002066629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004636588,"about_ca_system_score_gemma":0.003484412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9094722,"about_ca_topic_score_gemma":0.9671172,"domain_scores_codex":[0.9996662,0.00008266856,0.00001965096,0.00005649045,0.00008038059,0.00009452785],"domain_scores_gemma":[0.9979591,0.0003469646,0.0002841343,0.00004956545,0.0004896855,0.0008706183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003284038,0.0000578149,0.9941775,0.000009769813,0.00004093549,0.0000762441,0.0006534842,0.0005754534,0.00009272197,0.00003067465,0.0004241172,0.003828414],"study_design_scores_gemma":[0.000003325594,0.00003913412,0.9934118,0.00001928198,0.00001118069,0.00002665167,0.003706404,0.00228323,0.00002465629,0.0000274472,0.0004400249,0.000006743066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998816,0.00004862392,0.00004202127,0.00007283365,0.000001774721,0.00001333129,0.0002641678,0.000003097811,0.0007381591],"genre_scores_gemma":[0.9981343,0.000094966,0.0002356963,0.00002435321,0.000002059325,0.00002232225,0.000802544,0.000002664081,0.0006811118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09052777,"threshold_uncertainty_score":0.1821218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716454965385841,"score_gpt":0.2207374367435748,"score_spread":0.2035728870897164,"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."}}