{"id":"W3169181888","doi":"10.1002/rse2.222","title":"Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change","year":2021,"lang":"en","type":"article","venue":"Remote Sensing in Ecology and Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"University of British Columbia; Mitacs; Suncor Energy Incorporated; ConocoPhillips","keywords":"Vegetation (pathology); Wildlife; Habitat; Environmental science; Understory; Ecology; Restoration ecology; Woodland caribou; Odocoileus; Geography; Canopy; Biology","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":[0.0004745154,0.0003306107,0.0002171254,0.00186135,0.0004613061,0.0004673016,0.0004015916,0.0001673614,0.001780263],"category_scores_gemma":[0.0007113073,0.00017419,0.0002082183,0.001530845,0.00019734,0.0003925841,0.0004803015,0.0002929441,0.0003378193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439893,"about_ca_system_score_gemma":0.0008082981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1025971,"about_ca_topic_score_gemma":0.4053402,"domain_scores_codex":[0.9996693,0.00004287403,0.00002125996,0.00009515976,0.0001144697,0.00005696834],"domain_scores_gemma":[0.9986637,0.0001014013,0.0004368402,0.00007031154,0.0005266088,0.0002012122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001002091,0.00006796611,0.9678875,0.00008417302,0.0001053886,0.0000536069,0.0003249668,0.000703411,0.008014341,0.00005278929,0.001085107,0.02152052],"study_design_scores_gemma":[0.000008139219,0.00008671422,0.9940311,0.00002434631,0.0000353927,0.00007756279,0.000492515,0.002453714,0.001316918,0.00003344174,0.001428353,0.00001180386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987667,0.000346725,0.003158295,0.00002846643,0.00001458605,0.0001483535,0.006218156,0.00006291232,0.002355444],"genre_scores_gemma":[0.9872407,0.0002149333,0.0073574,0.00003658951,0.000009534399,0.0001902303,0.003451427,0.00001115785,0.001488094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025971,"threshold_uncertainty_score":0.2039998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109552712541115,"score_gpt":0.2453839842714463,"score_spread":0.2242884571460352,"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."}}