{"id":"W4413035512","doi":"10.1111/csp2.70113","title":"When is habitat recovered? Understanding the mechanisms of population decline to evaluate habitat recovery for boreal caribou","year":2025,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Pacific Forest Industries; Government of British Columbia; Ministry of Forests; Alberta Biodiversity Monitoring Institute","funders":"Alberta-Pacific Forest Industries","keywords":"Habitat; Boreal; Ecology; Geography; Population; Woodland caribou; Habitat destruction; Population decline; Environmental science; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005391023,0.00009323245,0.0001182727,0.00009579462,0.0006880267,0.0001056077,0.0002464812,0.0000633875,0.00004976099],"category_scores_gemma":[0.007494575,0.000076666,0.00002820019,0.0008005578,0.000296817,0.00151715,0.0001712445,0.0000747884,0.000009787047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807894,"about_ca_system_score_gemma":0.0001729871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048894,"about_ca_topic_score_gemma":0.001689866,"domain_scores_codex":[0.9986143,0.000150787,0.0003007306,0.0003401197,0.0004048594,0.0001891881],"domain_scores_gemma":[0.9968208,0.002463327,0.0002328528,0.0002383583,0.0001943034,0.00005036668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001820129,0.0001445655,0.6702849,0.00006380788,0.00007391838,0.000001073767,0.003755694,0.0007056385,0.01471179,0.1466954,0.1252754,0.03646769],"study_design_scores_gemma":[0.0004498995,0.0002135085,0.4892365,0.00003246712,0.00009390719,0.000005738261,0.001472557,0.008600809,0.0007710548,0.4876578,0.01132272,0.00014303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224457,0.00002513439,0.2384181,0.2315959,0.0005759708,0.001143525,0.00003271049,0.00002419684,0.005738799],"genre_scores_gemma":[0.9332207,0.00001817011,0.01496114,0.05133189,0.00001429166,0.00007273385,0.00002000428,0.00000519031,0.0003558727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410775,"threshold_uncertainty_score":0.8972248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083474132117652,"score_gpt":0.3315183635269671,"score_spread":0.2706836222057906,"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."}}