{"id":"W4413014513","doi":"10.1139/er-2025-0020","title":"Technological advancements: a global review of the use of camera technology in wildlife research","year":2025,"lang":"en","type":"review","venue":"Environmental Reviews","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; McGill University; Environment and Climate Change Canada; Acadia University","funders":"","keywords":"Wildlife; Wildlife conservation; Geography; Environmental resource management; Environmental science; Environmental planning; Ecology; Remote sensing; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004945667,0.001079343,0.001999277,0.01205363,0.0005212399,0.002096064,0.001197384,0.0016229,0.005282792],"category_scores_gemma":[0.01186886,0.0006831084,0.001959411,0.01336282,0.0008069002,0.002868255,0.001205578,0.001502656,0.001183996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575439,"about_ca_system_score_gemma":0.005406985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003712353,"about_ca_topic_score_gemma":0.008302227,"domain_scores_codex":[0.9975119,0.0007447915,0.0006710066,0.0003071123,0.0006501009,0.0001151367],"domain_scores_gemma":[0.9847358,0.01102625,0.001681507,0.000250422,0.001982824,0.0003231929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009493139,0.00003672014,0.0007499125,0.2560522,0.0005795936,0.0001923932,0.0003621056,0.000290348,0.0007651365,0.002433904,0.02096023,0.7174826],"study_design_scores_gemma":[0.00002324268,0.0001570881,0.004929692,0.1823284,0.002345225,0.001128937,0.0004394193,0.00009069399,0.0003811818,0.00154046,0.8065808,0.00005477615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009086313,0.9991906,0.00006341666,0.0002257016,0.0001140611,0.000005442587,0.00003214649,0.000004047215,0.0002736522],"genre_scores_gemma":[0.0007292862,0.9986988,0.0001891228,0.0001858282,0.00007738474,0.000007249466,0.00003652034,0.000002400258,0.00007332512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01205363,"threshold_uncertainty_score":0.02615547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026846381310666,"score_gpt":0.3764505111765613,"score_spread":0.2737658730454946,"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."}}