{"id":"W2092207102","doi":"10.1139/x06-258","title":"A Bayesian approach to evaluating habitat for woodland caribou in north-central British Columbia","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Habitat; Geography; Woodland; Range (aeronautics); Recreation; Critical habitat; Ecology; Disturbance (geology); Environmental resource management; Environmental science; Biology; Endangered species","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001773793,0.0004144342,0.0003834983,0.001777011,0.0008955926,0.001540362,0.0009305483,0.0006402899,0.001542171],"category_scores_gemma":[0.009922046,0.0004651038,0.0002960073,0.001439,0.0008455548,0.0009119184,0.0006837294,0.0005487823,0.00007733245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009172595,"about_ca_system_score_gemma":0.005013504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7440386,"about_ca_topic_score_gemma":0.7827175,"domain_scores_codex":[0.9993979,0.0003007613,0.00003166218,0.0000828691,0.000107292,0.00007940728],"domain_scores_gemma":[0.9974293,0.001691981,0.0002067437,0.00006086136,0.000484923,0.0001262028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005988035,0.0000286972,0.02146153,0.0000269448,0.00005408785,0.0000823896,0.0001877606,0.9550412,0.0001745246,0.005383648,0.0006594661,0.0168399],"study_design_scores_gemma":[0.00001292703,0.00001190175,0.008071183,0.00001815545,0.00002047773,0.00001689766,0.0002149055,0.9851751,0.00006819508,0.005918992,0.0004577516,0.00001350364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433589,0.0005661268,0.1443109,0.001168628,0.00001748446,0.0001973256,0.001487578,0.0001932313,0.008699805],"genre_scores_gemma":[0.9787937,0.0001530833,0.01944629,0.00003531263,0.000006587079,0.00007625222,0.0003838562,0.00001217788,0.001092803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2559614,"threshold_uncertainty_score":0.5149376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300804404204248,"score_gpt":0.2805792982295705,"score_spread":0.247571254187528,"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."}}