{"id":"W2285825528","doi":"10.1080/11956860.2017.1292100","title":"Road characteristics best predict the probability of vehicle collisions with a non-native ungulate","year":2017,"lang":"en","type":"article","venue":"Ecoscience","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Newfoundland and Labrador; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Ungulate; Geography; Ecology; Environmental science; Statistics; Biology; Mathematics; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003689897,0.0002603723,0.0001575336,0.0005142706,0.0003395964,0.0007853306,0.0002997678,0.0003271707,0.001725654],"category_scores_gemma":[0.002176253,0.0001563946,0.0003185363,0.0004298093,0.0002694011,0.0002842357,0.0003426233,0.0003070526,0.0002350237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854854,"about_ca_system_score_gemma":0.001030084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2886518,"about_ca_topic_score_gemma":0.5056954,"domain_scores_codex":[0.999831,0.00003691307,0.00001055933,0.00005086145,0.00002028399,0.00005037418],"domain_scores_gemma":[0.9989054,0.0003983271,0.0003454102,0.00007560696,0.000156513,0.0001187644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002085841,0.00001699569,0.9975223,0.000003275212,0.000027352,0.00002502138,0.00003672609,0.0009587301,0.00008971284,0.00002138036,0.00008597883,0.001191611],"study_design_scores_gemma":[0.000001281297,0.00003056211,0.9920769,0.000005995777,0.00002695925,0.00005797658,0.0002701926,0.007264095,0.00005417433,0.00004818714,0.0001602471,0.000003367871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991218,0.00003356409,0.0002453466,0.00002357906,0.000001134833,0.000002543208,0.0002083659,0.000006395729,0.0003571511],"genre_scores_gemma":[0.9993244,0.00002800679,0.0001633682,0.000005318302,0.000001244584,0.000002260078,0.0002514053,0.000002311978,0.0002216595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2886518,"threshold_uncertainty_score":0.5739433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578185601779876,"score_gpt":0.2440257150265358,"score_spread":0.228243859008737,"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."}}