{"id":"W2138905092","doi":"10.7557/2.32.2.2270","title":"Comparative woodland caribou population surveys in Slate Islands Provincial Park, Ontario","year":2012,"lang":"en","type":"article","venue":"Rangifer","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Trent University; University of Manitoba; Ministry of Natural Resources and Forestry","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University; Ministry of Natural Resources","keywords":"Woodland caribou; Threatened species; Population; Geography; Transect; Aerial survey; Population size; Vital rates; Mark and recapture; Woodland; Ecology; Shore; Fishery; Population growth; Biology; Cartography; Demography; Habitat","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":[0.0005376993,0.0001607818,0.0001638861,0.0009499739,0.001162201,0.0004727343,0.0005121878,0.0001263171,0.0009903362],"category_scores_gemma":[0.001728675,0.0002142499,0.0001542298,0.001145463,0.0004945455,0.0002489262,0.0003895409,0.0001223448,0.0001301402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008787926,"about_ca_system_score_gemma":0.006163177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9690806,"about_ca_topic_score_gemma":0.9960904,"domain_scores_codex":[0.9994743,0.00007383632,0.00002219395,0.00007379887,0.0002761153,0.00007979682],"domain_scores_gemma":[0.9988112,0.0001619535,0.0001977693,0.00004504592,0.0006274615,0.000156549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001577201,0.00004301171,0.9646953,0.00008185192,0.00005209771,0.0001812168,0.007670169,0.0006579832,0.004895042,0.0001341044,0.000440774,0.0209907],"study_design_scores_gemma":[0.000006097323,0.00004651586,0.996745,0.000009752586,0.00001072902,0.00003433484,0.001578348,0.0003592697,0.0002983505,0.00001152946,0.0008941147,0.000005918284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981921,0.00009871988,0.0002331603,0.0000163249,0.0000013378,0.00003032555,0.0002568847,0.00000697705,0.001164279],"genre_scores_gemma":[0.9967377,0.0001622939,0.001111703,0.00001383339,0.000001633894,0.00004241126,0.0004213157,0.000004282687,0.001504886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03091937,"threshold_uncertainty_score":0.06376117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986575445432015,"score_gpt":0.2398134692805985,"score_spread":0.2199477148262784,"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."}}