{"id":"W6905574624","doi":"10.15468/2tcpmu","title":"Grizzly bear (Ursus arctos) movements and habitat use predict human-caused mortality across temporal scales","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grizzly Bears; Ursus; Habitat; Wildlife; Wildlife management; Mark and recapture","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":[0.0002419934,0.0002485135,0.0002068402,0.001265451,0.0004487457,0.0004900561,0.0006724089,0.0002463047,0.002324788],"category_scores_gemma":[0.001064492,0.0001807394,0.0002869115,0.001793442,0.000220692,0.0001843748,0.0005342382,0.0003572857,0.001026516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287256,"about_ca_system_score_gemma":0.002053241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8394639,"about_ca_topic_score_gemma":0.9379262,"domain_scores_codex":[0.9998404,0.00001115802,0.000009242438,0.00004045603,0.00005603302,0.00004272332],"domain_scores_gemma":[0.9994466,0.00004671645,0.0001250185,0.00006946691,0.0002327842,0.0000794241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001735598,0.00004530223,0.9336692,0.0001064363,0.0001013618,0.00008879902,0.0003374414,0.001696822,0.0007733231,0.0002340674,0.04954813,0.01322552],"study_design_scores_gemma":[0.00001413704,0.000008327912,0.9854351,0.00003234994,0.00002098234,0.00005160442,0.0002858093,0.001401876,0.0001319503,0.00006652218,0.01254108,0.00001026262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6381463,0.000763379,0.0008678005,0.0004642313,0.00005192809,0.00006675543,0.3533199,0.0003316277,0.005987992],"genre_scores_gemma":[0.5095085,0.000466596,0.002911501,0.00008418859,0.00002110451,0.00008257189,0.4819795,0.00003862059,0.00490747],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8394639,"threshold_uncertainty_score":0.3229631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263557250452299,"score_gpt":0.3991746349797511,"score_spread":0.2728189099345213,"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."}}