{"id":"W2592893756","doi":"10.1126/science.355.6325.561","title":"Why are grizzlies dying on Canada's railway tracks?","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fencing; National park; Clearing; Train; SAFER; Geography; Vegetation (pathology); Population; Crowds; Archaeology; Demography; Computer science; Business; Computer security","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":[0.0007468513,0.0002009183,0.0002626179,0.0006495196,0.009540582,0.002065148,0.0007971769,0.001779476,0.01163543],"category_scores_gemma":[0.00369405,0.0001490632,0.0002700713,0.000681639,0.003054484,0.001027363,0.0008333839,0.003106882,0.001088462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01107809,"about_ca_system_score_gemma":0.01366377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8994815,"about_ca_topic_score_gemma":0.975212,"domain_scores_codex":[0.9994112,0.00005165076,0.00001101367,0.0000563552,0.0001468468,0.0003229099],"domain_scores_gemma":[0.9971128,0.000175478,0.0002906242,0.00007349085,0.001317361,0.001030304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005217,0.0001451654,0.6800842,0.0001683496,0.0001087982,0.003967224,0.02742874,0.0002211588,0.0007562921,0.006016394,0.1872763,0.09362688],"study_design_scores_gemma":[0.00002393235,0.00009896966,0.6329066,0.0008225914,0.00007816439,0.0026053,0.2190916,0.0003299239,0.0003346166,0.004504743,0.1391132,0.00009036488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271898,0.008080895,0.0007952995,0.1830509,0.001934781,0.00007064759,0.001378622,0.0001068587,0.07739219],"genre_scores_gemma":[0.9600571,0.005877128,0.00040489,0.01419329,0.0002470032,0.00001457633,0.000375975,0.00003752165,0.0187926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1005185,"threshold_uncertainty_score":0.2022209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465801106101805,"score_gpt":0.2222819181248504,"score_spread":0.2076239070638324,"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."}}