{"id":"W779426280","doi":"","title":"Modeling the impact of moose and wolf management on persistence of woodland caribou.","year":2007,"lang":"en","type":"article","venue":"Alces","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Predation; Population; Ecology; Canis; Abundance (ecology); Taiga; Boreal; Limiting; Geography; Grouse; Biology; Habitat; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196317,0.00003478448,0.0000452181,0.0000120272,0.00004471595,0.000002299371,0.00006734022,0.00001816681,0.00006279579],"category_scores_gemma":[0.00000622538,0.00002165924,0.0000219317,0.00005533867,0.00008976043,0.00004397157,0.00003720509,0.00002617597,0.000003758636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001544393,"about_ca_system_score_gemma":0.000001677073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006325592,"about_ca_topic_score_gemma":0.0001956897,"domain_scores_codex":[0.9997036,0.00001064597,0.00007743132,0.00006950875,0.00006840182,0.00007036213],"domain_scores_gemma":[0.9998326,0.00003855213,0.0000316587,0.00008070996,0.000002727211,0.00001371396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004422708,0.00003537281,0.9691884,0.000004786194,0.00002844932,0.000001246919,0.00077236,0.02518689,0.0002191274,0.000179753,0.000136454,0.004202972],"study_design_scores_gemma":[0.00009602358,0.00008093399,0.9882942,0.000007177359,0.00001080931,8.729939e-7,0.0004194956,0.01057401,0.0001338651,0.0003398643,0.00001434435,0.0000283327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936699,0.00003600202,0.0001370072,0.00009897981,0.00001665806,0.00005949192,0.000001101233,0.000002376664,0.005978442],"genre_scores_gemma":[0.9997137,0.00002258273,0.0001069385,0.00008050552,0.000005009939,0.000001143651,5.81083e-7,0.00000133943,0.00006815602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191059,"threshold_uncertainty_score":0.09562445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810437459936102,"score_gpt":0.2453868744546786,"score_spread":0.2272824998553176,"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."}}