{"id":"W3144832097","doi":"10.1101/2021.04.02.438243","title":"Roads as ecological traps for giant anteaters","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Wildlife; Habitat; Home range; Geography; Ecology; Ecological trap; Range (aeronautics); Impervious surface; Movement (music); Traffic volume; Biology; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003960937,0.0004161124,0.0004096163,0.00008233914,0.0002581135,0.0002937219,0.0004711942,0.0004599394,0.001627096],"category_scores_gemma":[0.0002171379,0.0004202578,0.0002580162,0.000293335,0.0001572344,0.0002795842,0.0004718007,0.0004903374,0.0002730508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005192332,"about_ca_system_score_gemma":0.0001783889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002689976,"about_ca_topic_score_gemma":0.00001737259,"domain_scores_codex":[0.9975886,0.0001062497,0.0004750293,0.001021437,0.0003146589,0.0004940684],"domain_scores_gemma":[0.9985116,0.0000774901,0.0002802615,0.0008086697,0.00009632622,0.0002256312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006235951,0.0005130948,0.02032134,0.0001039209,0.0001459774,0.00008345327,0.00003351633,0.000701114,0.9728441,0.0002516968,0.00489832,0.00004116255],"study_design_scores_gemma":[0.0007166138,0.0002234894,0.8400784,0.0002484151,0.0001514706,1.306809e-7,0.00003572371,0.006348938,0.1023326,0.000009878862,0.04859553,0.00125886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938201,0.00007497718,0.002670949,0.001039791,0.00129951,0.0007469343,0.00008209853,0.0001946925,0.0000709367],"genre_scores_gemma":[0.9911756,0.00009026632,0.006879569,0.001201762,0.0001908995,0.0003481797,0.000001301771,0.0000641243,0.00004832517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8705115,"threshold_uncertainty_score":0.9998249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396594553707912,"score_gpt":0.2226970800855577,"score_spread":0.2087311345484786,"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."}}