{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003131174,0.00007695794,0.00008941088,0.00001138681,0.0008043516,0.00009123841,0.000557367,0.00002235373,0.0002153658],"category_scores_gemma":[0.0002195985,0.00004661481,0.00002516143,0.0001361938,0.0008756615,0.00055434,0.0001879634,0.00008989899,0.00006975319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006623891,"about_ca_system_score_gemma":0.0000394454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166531,"about_ca_topic_score_gemma":0.0004513679,"domain_scores_codex":[0.9991696,0.00002583337,0.0001585046,0.0002323637,0.0002642657,0.0001494517],"domain_scores_gemma":[0.9990311,0.00004532136,0.0002509964,0.0005866387,0.00003581083,0.00005013786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002464747,0.0001631794,0.9875152,0.000003580329,0.000004500924,0.000001503341,0.0005470722,0.0003248388,0.005490732,0.00009950911,0.0002784968,0.005546734],"study_design_scores_gemma":[0.00009927648,0.0001259403,0.9715286,0.00002542266,0.000007737564,0.000002852638,0.00006585718,0.02606249,0.001109486,0.0001214036,0.0007880495,0.00006284707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920308,0.000001011559,0.0004025999,0.0009060961,0.0001227021,0.0002652694,0.00002262016,0.000007842919,0.006241042],"genre_scores_gemma":[0.9986681,0.000004248071,0.0004932364,0.00008417929,0.00001654857,0.00002880302,0.000001066736,0.000003578012,0.0007002496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573765,"threshold_uncertainty_score":0.6186503,"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."}}