{"id":"W1526475465","doi":"10.1002/9781118568170.ch28","title":"The Impacts of Roads and Traffic on Terrestrial Animal Populations","year":2015,"lang":"en","type":"other","venue":"","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008300078,0.00008873965,0.00008379545,0.00002996353,0.00005378054,0.00002352387,0.00007801002,0.00007350274,0.002476255],"category_scores_gemma":[0.00003355006,0.00005482479,0.00002394896,0.0000728304,0.00008384642,0.0000427229,0.00003006894,0.0000681875,0.0001203814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003716319,"about_ca_system_score_gemma":0.00001291741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947952,"about_ca_topic_score_gemma":0.00587423,"domain_scores_codex":[0.9994877,0.00002671558,0.0001244855,0.000118892,0.0001569674,0.00008522993],"domain_scores_gemma":[0.9996679,0.00002365492,0.0001044313,0.0001565952,0.000002259335,0.00004520218],"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":[0.00002588463,0.00002409605,0.001410252,8.228915e-7,0.000007110231,1.953651e-7,0.00002406283,0.00003468008,0.00004109607,0.0001142004,0.9941637,0.004153885],"study_design_scores_gemma":[0.0002206698,0.0001714726,0.02744607,0.00002667108,0.00001549304,0.000002638488,0.0000504657,0.0007357476,0.000007208529,0.00004216429,0.9711813,0.0001001254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1442658,0.00005088057,0.000004704252,0.0006463032,0.0003271915,0.0002249964,0.00001977058,0.00004175793,0.8544186],"genre_scores_gemma":[0.5185219,0.0000448816,0.0002073737,0.000115157,0.0002130766,0.000009871513,0.00003219273,0.00007260929,0.4807829],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.374256,"threshold_uncertainty_score":0.9984356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586613696901156,"score_gpt":0.2736992426686595,"score_spread":0.247833105699648,"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."}}