{"id":"W3007508038","doi":"10.22621/cfn.v133i3.2279","title":"Do turtle warning signs reduce roadkill?","year":2020,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Wildlife Federation","funders":"Environment and Climate Change Canada; Canadian Wildlife Federation","keywords":"Warning signs; Wildlife; Turtle (robot); Warning system; Fencing; Fishery; Geography; Environmental science; Ecology; Computer science; Engineering; Transport engineering; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001033867,0.00009884699,0.00007678734,0.00001863235,0.0004177844,0.0001244212,0.0003392965,0.00007493113,0.01296385],"category_scores_gemma":[0.000183879,0.00007286757,0.00005117352,0.0002275995,0.00006055396,0.0001898169,0.00005393166,0.0003372165,0.002234427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124755,"about_ca_system_score_gemma":0.00005189525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2553805,"about_ca_topic_score_gemma":0.2109593,"domain_scores_codex":[0.9992187,0.00004901917,0.0001254698,0.0002235018,0.0001448075,0.0002385275],"domain_scores_gemma":[0.9993727,0.00006979541,0.00004727011,0.0002467693,0.00001129163,0.0002521305],"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":[0.00001656717,0.000005738511,0.006457355,0.000003438114,0.00001599046,0.00002040708,0.002738976,0.0005283226,0.003905049,0.0007223806,0.9739182,0.01166755],"study_design_scores_gemma":[0.0001023094,0.00003501817,0.01234231,0.00001034592,0.00001406389,0.00001461434,0.0003636352,0.001691821,0.001096767,0.0001909027,0.9839387,0.0001995045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5229313,0.00005896807,0.00003804883,0.3257728,0.0005798236,0.0002644436,0.0000184188,0.00006433432,0.1502719],"genre_scores_gemma":[0.9625621,0.000004465553,0.00008869726,0.03193706,0.0001692213,0.000008819403,0.00001322842,0.000009329001,0.005207081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396308,"threshold_uncertainty_score":0.9985424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395751188290155,"score_gpt":0.2374571206686147,"score_spread":0.2134996087857132,"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."}}