{"id":"W2099060880","doi":"10.1890/14-1418.1","title":"Mining‐caused changes to habitat structure affect amphibian and reptile population ecology more than metal pollution","year":2015,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vale (Canada); Laurentian University","funders":"","keywords":"Ecology; Habitat; Environmental science; Microclimate; Abundance (ecology); Canopy; Population; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009743041,0.0001505012,0.0001893515,0.0003392474,0.0001799357,0.0002771272,0.0001282775,0.0001401943,0.0006499785],"category_scores_gemma":[0.0002517562,0.0001181909,0.0001652302,0.0002969158,0.0002580044,0.000225762,0.0003053096,0.0001367741,0.00007847253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777831,"about_ca_system_score_gemma":0.0001174263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002995808,"about_ca_topic_score_gemma":0.01056874,"domain_scores_codex":[0.9999069,0.000020353,0.000006888941,0.00003095195,0.000014683,0.00002019897],"domain_scores_gemma":[0.9997378,0.00002163862,0.0001490393,0.0000233288,0.00003410811,0.00003409256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006560097,0.00003261042,0.9555907,0.00002053682,0.0000522636,0.00006889466,0.0001496634,0.0003246531,0.03802905,0.00002337386,0.00004102601,0.00560158],"study_design_scores_gemma":[4.136336e-7,0.00003331916,0.9994296,6.381754e-7,0.000003862988,0.00003645982,0.00007495553,0.0001090232,0.000258263,0.000008408189,0.00004404417,8.606275e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997869,0.00002410824,0.00005605418,0.000004036351,2.550773e-7,9.985002e-7,0.00002480373,0.000002389954,0.0001004446],"genre_scores_gemma":[0.9997187,0.00003565898,0.00009900494,0.000005809045,0.000001042077,0.000001403541,0.0000703029,7.925646e-7,0.00006716698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002995808,"threshold_uncertainty_score":0.005956769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309167974673617,"score_gpt":0.2696044263220635,"score_spread":0.2465127465753273,"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."}}