{"id":"W276501989","doi":"","title":"WILDLIFE ACCIDENT REPORTING SYSTEM (WARS) BRITISH COLUMBIA MINISTRY OF TRANSPORTATION","year":2002,"lang":"en","type":"article","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Christian ministry; Geography; Habitat; Range (aeronautics); Wildlife corridor; Ministry of Transport; Environmental protection; Fishery; Ecology; Archaeology; Engineering; Political science","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":[0.001613574,0.0007691156,0.0005149262,0.005638416,0.001776643,0.001744867,0.001509947,0.0005728683,0.01929001],"category_scores_gemma":[0.006913738,0.000484473,0.0002401666,0.007895461,0.0002619212,0.0007238897,0.0007001935,0.000941542,0.006933665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01212979,"about_ca_system_score_gemma":0.02835234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9140532,"about_ca_topic_score_gemma":0.9304012,"domain_scores_codex":[0.9975221,0.000205654,0.0003479098,0.000219357,0.00144035,0.0002645597],"domain_scores_gemma":[0.98088,0.0004977052,0.001335852,0.0003965665,0.0160293,0.0008606274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001265617,0.00008014806,0.0590687,0.0002899131,0.00005418788,0.0001022688,0.0001292893,0.0006730571,0.0003238897,0.0007678311,0.8870467,0.05133742],"study_design_scores_gemma":[0.0001284939,0.00008289776,0.4531127,0.0006204621,0.0001013203,0.0001716858,0.0006298581,0.002496175,0.0008280189,0.0003363846,0.5413716,0.0001203525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03120141,0.001793109,0.002802085,0.00359785,0.0008902187,0.003425574,0.8172891,0.001609112,0.1373916],"genre_scores_gemma":[0.09468143,0.004756368,0.007125889,0.002741731,0.0002750877,0.004081657,0.7518548,0.0003461746,0.1341369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0859468,"threshold_uncertainty_score":0.1729059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676694024514381,"score_gpt":0.2137122967369202,"score_spread":0.1969453564917764,"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."}}