{"id":"W3206110272","doi":"10.1016/j.gecco.2021.e01865","title":"Individual and synergistic effects of habitat loss and roads on reptile occupancy","year":2021,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of Natural Resources and Forestry; Nature Conservancy of Canada; Trent University","funders":"Environment and Climate Change Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Occupancy; Habitat; Habitat destruction; Wildlife; Ecology; Threatened species; Extinction (optical mineralogy); Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.00009066348,0.00008227662,0.0001201038,0.00001423894,0.0001342345,0.0000249131,0.00003118402,0.00008581207,0.00008103727],"category_scores_gemma":[0.0002020044,0.00008235579,0.00001360226,0.0001174298,0.0002485661,0.0001428257,0.00007989472,0.0000585472,0.00001181923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003286012,"about_ca_system_score_gemma":0.00002290262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002104071,"about_ca_topic_score_gemma":0.001108194,"domain_scores_codex":[0.999365,0.00007564528,0.000151075,0.0002254164,0.00007779206,0.0001050411],"domain_scores_gemma":[0.9995784,0.0001854543,0.00007936714,0.00009384152,0.00001943037,0.00004348816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003649175,0.00005610835,0.988068,0.0000244453,0.00001832527,0.00001443832,0.00006487036,0.000008238623,0.0009310739,0.003088856,0.001783374,0.005905762],"study_design_scores_gemma":[0.0003808363,0.0001595941,0.9951661,0.00002319669,0.00003603032,0.00003841096,0.00005246712,0.0003717039,0.0004905885,0.00221275,0.000992587,0.00007572404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970187,0.0001073489,0.00006137454,0.001612981,0.0001352045,0.00009957635,0.00001296281,0.00001127865,0.0009405595],"genre_scores_gemma":[0.9976662,0.00005954654,0.0002438481,0.001869788,0.00001118752,0.00001468991,0.00001964346,0.000002448629,0.0001126204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007098095,"threshold_uncertainty_score":0.3358372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005768501905950538,"score_gpt":0.2235557020091977,"score_spread":0.2177872001032472,"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."}}