{"id":"W6907591448","doi":"10.25316/ir-17751","title":"Exploring bear attractant management strategies in Vancouver Island campgrounds","year":2016,"lang":"en","type":"article","venue":"VIURRSpace (Vancouver Island University)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Human–wildlife conflict; Tourism; Wildlife management; Natural (archaeology); Population; Garbage","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":[0.0008527352,0.0002836786,0.0003025906,0.0006716026,0.002722641,0.001318009,0.0007082097,0.0003391529,0.001262688],"category_scores_gemma":[0.0009819968,0.0001663119,0.0001429511,0.0005269239,0.00082372,0.0003196138,0.000783023,0.0003985735,0.000108802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003683659,"about_ca_system_score_gemma":0.003057238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3965622,"about_ca_topic_score_gemma":0.8634328,"domain_scores_codex":[0.9994588,0.0001804634,0.00001469326,0.00007588094,0.0001169551,0.000153155],"domain_scores_gemma":[0.9993523,0.0001191493,0.0001224544,0.00002078938,0.0001343323,0.0002509516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005972968,0.003121671,0.8162481,0.000275172,0.0001702559,0.0008354777,0.06796572,0.0004605371,0.007742664,0.000526804,0.001576508,0.1004797],"study_design_scores_gemma":[0.00001806239,0.0008317819,0.8909871,0.00009227323,0.00004035789,0.00006163392,0.1040211,0.0004692553,0.0002543097,0.0001037959,0.003101798,0.00001850969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99885,0.00005667114,0.00002989351,0.00002453328,0.000002114244,0.00002846466,0.00001704883,7.62022e-7,0.0009905291],"genre_scores_gemma":[0.9971469,0.0001877533,0.000590593,0.0000629123,0.000002983936,0.00004995207,0.00006719299,0.000001258416,0.001890417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6034378,"threshold_uncertainty_score":0.7885079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050320749528146,"score_gpt":0.1940784841588177,"score_spread":0.1735752766635362,"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."}}