{"id":"W2323033404","doi":"10.1002/jwmg.1069","title":"Assessing den selection and den characteristics of grizzly bears","year":2016,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Ursus; Grizzly Bears; Ecology; Geography; Habitat; Overwintering; Range (aeronautics); Home range; Land cover; Boreal; Taiga; Woodland caribou; Land use; Biology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004924975,0.0002001632,0.0001491085,0.0006081864,0.0003850321,0.0003191251,0.0002639682,0.0001577063,0.0007392365],"category_scores_gemma":[0.0006448479,0.0001007105,0.000149612,0.0003122807,0.0003085816,0.000208967,0.0002901263,0.0001531921,0.0001431112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004857588,"about_ca_system_score_gemma":0.0001689618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03375472,"about_ca_topic_score_gemma":0.1511571,"domain_scores_codex":[0.9998056,0.00003750336,0.00001169756,0.00005254504,0.00005387808,0.00003881799],"domain_scores_gemma":[0.9992944,0.00008315739,0.000352239,0.00004392844,0.0001048844,0.0001214097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001819577,0.000004545868,0.9990494,0.000001927068,0.000007355487,0.00001910738,0.00009455922,0.00004877514,0.0002889012,0.000007831473,0.00002072412,0.0004387685],"study_design_scores_gemma":[2.639279e-7,0.000008405866,0.9997291,6.165139e-7,0.000001393276,0.0000207014,0.0001228552,0.00005021624,0.0000294274,0.000002810815,0.00003364052,5.045429e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996101,0.00002620277,0.00004834268,0.000004363548,9.525517e-7,0.000002847507,0.00008835537,0.000001187954,0.0002177693],"genre_scores_gemma":[0.999482,0.00002014419,0.0001154529,0.000004203651,0.000001983921,0.000003137057,0.0002316859,6.51172e-7,0.0001407466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03375472,"threshold_uncertainty_score":0.06711644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218441711283215,"score_gpt":0.2361529635505603,"score_spread":0.2239685464377281,"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."}}