{"id":"W4409061560","doi":"10.1088/2752-664x/adc0aa","title":"Climate change mitigation through woodland caribou (<i>Rangifer tarandus)</i> habitat restoration in British Columbia","year":2025,"lang":"en","type":"article","venue":"Environmental Research Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western Forest Products","funders":"Mitacs","keywords":"Woodland caribou; Woodland; Habitat; Geography; Climate change; Ecology; Forestry; Agroforestry; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009390395,0.0001120995,0.0001978592,0.00007228014,0.0004139133,0.0001582875,0.0002582562,0.0001567968,0.002088668],"category_scores_gemma":[0.00005292411,0.0001643239,0.00004947876,0.0003706506,0.0005030846,0.000432848,0.0005081451,0.0002842107,0.0005591682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007746354,"about_ca_system_score_gemma":0.000009572797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01372348,"about_ca_topic_score_gemma":0.3267434,"domain_scores_codex":[0.9976006,0.0003857119,0.0002919033,0.0005425517,0.0004540598,0.0007252022],"domain_scores_gemma":[0.9994782,0.0001368459,0.00004397574,0.0002588163,0.000003066943,0.00007904902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002485793,0.0002492835,0.9669674,0.00001544106,0.000008078402,0.00006993218,0.0002282034,0.00005995758,0.0004010323,0.00003164694,0.01682206,0.01512209],"study_design_scores_gemma":[0.001025545,0.0001499705,0.9664121,0.00003994511,0.000006776358,0.000003898338,0.0003478692,0.000234793,0.00003852751,0.001755334,0.02984095,0.0001442491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868941,0.0001710478,0.00001852273,0.001513506,0.0001987547,0.001000361,0.00004872181,0.00002336533,0.01013167],"genre_scores_gemma":[0.9948577,0.00108766,0.0001296047,0.0009399133,0.00005907416,0.0005074777,0.0001211855,0.00001555856,0.00228178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3130199,"threshold_uncertainty_score":0.9988236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198325670890122,"score_gpt":0.2852566471562404,"score_spread":0.2632733904473392,"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."}}