{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001134724,0.00005435256,0.00005930261,0.00002236992,0.0001295076,0.000007249109,0.0001009639,0.00004249381,0.004882807],"category_scores_gemma":[0.00001141028,0.00004770759,0.00002336304,0.0001522994,0.0001879254,0.0001198218,0.00005031945,0.00005860157,0.0009726185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894782,"about_ca_system_score_gemma":0.000002950292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004220096,"about_ca_topic_score_gemma":0.01202906,"domain_scores_codex":[0.9995152,0.00002035181,0.00006645855,0.0001362028,0.0001296411,0.0001321736],"domain_scores_gemma":[0.9998724,0.0000435428,0.00001438166,0.00004377968,0.000002914222,0.00002297873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009777593,0.00004833014,0.9923519,6.634463e-7,0.000006705223,0.000006571727,0.000149142,0.00008903576,0.00003275775,0.00005590951,0.004909878,0.002339312],"study_design_scores_gemma":[0.0001828399,0.00001978539,0.9762177,0.000001582482,0.000003633995,0.000002078775,0.00003911288,0.00007536866,0.00000903599,0.001199274,0.02218368,0.0000658541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484535,0.00006663125,8.600533e-7,0.0008913819,0.00003200597,0.00004614562,0.000004663118,0.00001345287,0.05049133],"genre_scores_gemma":[0.996998,0.000206522,0.0001586918,0.0006601901,0.00001698747,0.000003574975,0.000004243389,0.000001307034,0.001950507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04854445,"threshold_uncertainty_score":0.9998052,"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."}}