{"id":"W7010272514","doi":"","title":"Historical changes in caribou distribution and land cover in and around Prince Albert National Park: land management implications","year":2008,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland caribou; Woodland; Land cover; National park; Boreal; Population; Land use; Taiga; Logging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840343,0.0001008802,0.00009557728,0.0007163109,0.0005345054,0.0006193352,0.0002837232,0.0002227958,0.001020755],"category_scores_gemma":[0.0008409859,0.00009439544,0.0001132439,0.001198357,0.000497971,0.0004736629,0.0004093637,0.0002218012,0.0001110076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092645,"about_ca_system_score_gemma":0.001397131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4044227,"about_ca_topic_score_gemma":0.6817577,"domain_scores_codex":[0.9998279,0.00004676562,0.000009818774,0.0000302582,0.00003635544,0.00004896715],"domain_scores_gemma":[0.9992806,0.00008774015,0.0001983141,0.00002490002,0.0002738307,0.0001345954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001658735,0.00001646478,0.9914433,0.00002008243,0.00002674203,0.0001880928,0.000503985,0.0002371504,0.000313585,0.00004514446,0.0004563706,0.006732455],"study_design_scores_gemma":[4.494138e-7,0.000006827202,0.9985729,0.000009836423,0.000003851826,0.00005320731,0.0008532843,0.0001062543,0.00003338955,0.0000123065,0.0003457951,0.000001765254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983426,0.0003289904,0.00004594918,0.0003022333,0.000005779684,0.000003364486,0.0002747232,0.000002859092,0.0006935228],"genre_scores_gemma":[0.9992189,0.0003255078,0.00004794039,0.00003823176,0.000004502098,0.00000229544,0.0001456622,8.556058e-7,0.0002160572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5955772,"threshold_uncertainty_score":0.8041375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508486705674878,"score_gpt":0.2163014943280884,"score_spread":0.2012166272713396,"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."}}