{"id":"W2245556644","doi":"","title":"Extreme moose demographics in Gros Morne National Park, Newfoundland.","year":2000,"lang":"en","type":"article","venue":"Alces","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"National park; Demographics; Geography; Ecology; Predation; Archaeology; Biology; Demography","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":[0.0002118262,0.00007712206,0.0001099315,0.0006584169,0.0008514824,0.0004315153,0.0003721428,0.000226659,0.001631947],"category_scores_gemma":[0.0005467695,0.0001213741,0.00009292334,0.0008097925,0.0004751837,0.0004046344,0.000618573,0.0003498624,0.0001907881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002879711,"about_ca_system_score_gemma":0.001481046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8525138,"about_ca_topic_score_gemma":0.9800656,"domain_scores_codex":[0.9998042,0.000027621,0.000009358219,0.00003454406,0.00002107415,0.0001030928],"domain_scores_gemma":[0.9994264,0.00005215608,0.000202311,0.00002814525,0.0001309856,0.0001601068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005014614,0.00002291717,0.9896702,0.00001564646,0.00002800585,0.0001673747,0.001646164,0.00007601361,0.0003441251,0.0001120304,0.002143092,0.00572433],"study_design_scores_gemma":[4.723595e-7,0.000004158717,0.9982722,0.000003573326,0.000002214235,0.00003021369,0.0011896,0.00001886205,0.00001070074,0.000004535995,0.0004623968,0.000001153419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980592,0.0001218492,0.00003033825,0.0001136169,0.000002928782,0.000003930792,0.0007749495,0.000002366463,0.000890776],"genre_scores_gemma":[0.9970043,0.000139573,0.0001064134,0.00008131089,0.000003704415,0.00001110953,0.0007434633,0.000002132182,0.001907886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1474862,"threshold_uncertainty_score":0.2967095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758889685531449,"score_gpt":0.2198353013237758,"score_spread":0.1922464044684613,"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."}}