{"id":"W2465002832","doi":"10.1017/s0376892916000217","title":"Wildlife habitat selection on landscapes with industrial disturbance","year":2016,"lang":"en","type":"article","venue":"Environmental Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada); Foothills Medical Centre; University of Alberta","funders":"University of Alberta","keywords":"Ursus; Wildlife; Threatened species; Grizzly Bears; Habitat; Wildlife conservation; Site selection; Geography; Selection (genetic algorithm); Wildlife management; Population; Ecology; Resource (disambiguation); Geographic information system; Environmental science; Cartography; 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":["insufficient_payload"],"category_scores_codex":[0.000158839,0.0001745293,0.0001159684,0.00003060733,0.0002176389,0.0000159406,0.0001121131,0.0001218847,0.001716477],"category_scores_gemma":[0.0000398458,0.0001179026,0.00003198791,0.0001302521,0.0001876782,0.0004485217,0.0000420344,0.000114169,0.001203259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165884,"about_ca_system_score_gemma":0.0000125212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002397136,"about_ca_topic_score_gemma":0.0001366283,"domain_scores_codex":[0.9988141,0.00009072047,0.0001956911,0.0003765331,0.0002932223,0.0002297066],"domain_scores_gemma":[0.9994879,0.0001402376,0.0001321248,0.0001667589,0.000002105147,0.00007082529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002550948,0.0001217477,0.9826958,7.270366e-7,0.00001184739,0.000002534277,0.00003121221,0.00003817418,0.003193632,0.0001168045,0.00888089,0.004651566],"study_design_scores_gemma":[0.001184098,0.0004721542,0.9743207,0.00002186644,0.00001404616,0.0000113182,0.00001956699,0.0001254955,0.001243967,0.0001824127,0.02220309,0.0002012995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908329,0.000004452625,0.0005758902,0.006741725,0.0001116128,0.0002731354,0.00001200473,0.00006742278,0.001380914],"genre_scores_gemma":[0.9946917,0.00001209636,0.0002091209,0.003166154,0.00009270127,0.00006843798,0.00002794875,0.00001788269,0.001713915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133222,"threshold_uncertainty_score":0.9995744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065790566647333,"score_gpt":0.1834429294781924,"score_spread":0.172785023811719,"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."}}