{"id":"W2564828239","doi":"","title":"The influence of climate on the numerical response of a predator (Canis latrans: coyote) population to its prey (Lepus americanus: snowshoe hare) in the Canadian boreal forest","year":2010,"lang":"en","type":"other","venue":"University of Canberra Research Portal","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predation; North Atlantic oscillation; Snowshoe hare; Ecology; Taiga; Predator; Numerical response; Climate change; Trophic level; Population; Environmental science; Boreal; Ecosystem; Canis; Range (aeronautics); Geography; Functional response; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001757148,0.000122835,0.0001909013,0.0001920477,0.0003156679,0.00001179024,0.0009283698,0.0002130974,0.0008654488],"category_scores_gemma":[0.0005003834,0.00008548079,0.00005938909,0.0005555273,0.0008666603,0.00007163447,0.0001165223,0.0005784134,0.00002713946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614402,"about_ca_system_score_gemma":0.0004135501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.644358,"about_ca_topic_score_gemma":0.9730082,"domain_scores_codex":[0.9977514,0.0007130156,0.0001934957,0.0002419928,0.0007169215,0.0003831325],"domain_scores_gemma":[0.9985254,0.0006113102,0.0002084985,0.0004709988,0.00005787597,0.0001258569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001329797,0.0001038775,0.9113218,0.00002854755,0.00004717183,0.00005481911,0.002489949,0.0006307503,0.0001068883,0.001410667,0.08170204,0.0007736837],"study_design_scores_gemma":[0.0001472533,0.0002187932,0.971225,0.00006089151,0.00001107997,0.000001930881,0.00085811,0.00008403164,0.000009889264,0.00002699545,0.02727691,0.00007908074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335859,0.000007479046,0.000001693611,0.002975818,0.00002942055,0.0008815912,0.000252088,0.000006495724,0.06225956],"genre_scores_gemma":[0.9935449,0.00004652363,0.0000318956,0.0001261929,0.00001200583,0.000005332633,0.0000320976,0.0000229407,0.006178102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286502,"threshold_uncertainty_score":0.9476057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680835709871582,"score_gpt":0.2620831623498632,"score_spread":0.2452748052511474,"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."}}