{"id":"W3092619091","doi":"","title":"Tracking moose- and deer-vehicle collisions using GPS and landmark inventory systems in British Columbia.","year":2020,"lang":"en","type":"article","venue":"Alces : A Journal Devoted to the Biology and Management of Moose","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Wildlife; Odocoileus; Geography; Global Positioning System; Christian ministry; Habitat; Fishery; Cartography; Ecology; Computer science; Biology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002936716,0.00005718266,0.0001183038,0.00002532694,0.0002231439,0.0001237106,0.000090624,0.00004052247,0.0000497431],"category_scores_gemma":[0.00002266217,0.00005845044,0.00001545128,0.000156065,0.00009250932,0.0001637488,0.0001645357,0.0001089841,0.000001851846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343502,"about_ca_system_score_gemma":0.000003873534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458565,"about_ca_topic_score_gemma":0.003761478,"domain_scores_codex":[0.999334,0.0001064146,0.0002120412,0.0001533531,0.00006883393,0.000125348],"domain_scores_gemma":[0.9997205,0.00003877191,0.00009309478,0.00005534497,0.000009699435,0.0000826315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005619202,0.00006086398,0.9527629,0.00005334398,0.0001030227,0.0000462496,0.0006595678,0.001188926,0.002422948,0.0001290143,0.002869661,0.03964729],"study_design_scores_gemma":[0.0006869324,0.0001745519,0.9506401,0.0002214757,0.00006120055,0.0001346528,0.001812406,0.01905034,0.00001235533,0.0002842999,0.02678544,0.0001362767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963181,0.001251494,0.0002438039,0.001741725,0.0000854469,0.0002084729,0.000005083858,0.000005261834,0.0001405894],"genre_scores_gemma":[0.9973478,0.001318757,0.0002851191,0.0009381095,0.00002578881,0.000006335816,0.000001365796,0.000004377965,0.0000723069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03951101,"threshold_uncertainty_score":0.5228339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390576550387059,"score_gpt":0.2460317702066895,"score_spread":0.2221260047028189,"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."}}