{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756992,0.0003372256,0.0004305359,0.0007833742,0.0004656632,0.0009422477,0.0006617851,0.0003416491,0.002391497],"category_scores_gemma":[0.005838984,0.0003166959,0.001187515,0.0006176641,0.0008578287,0.0008073393,0.001214994,0.0004226755,0.0002439749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211707,"about_ca_system_score_gemma":0.0006520803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06176723,"about_ca_topic_score_gemma":0.1724279,"domain_scores_codex":[0.9984093,0.0006984103,0.0000935016,0.0003144549,0.0002186855,0.000265619],"domain_scores_gemma":[0.9944949,0.002366639,0.0016569,0.0005300312,0.0004264814,0.0005251052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006726458,0.0000138241,0.9965563,0.00001137668,0.000131167,0.00005183681,0.0001062602,0.001211648,0.0002324638,0.00004596202,0.00005357765,0.001518434],"study_design_scores_gemma":[0.000001193327,0.00004972559,0.9966326,0.000003501164,0.00005510035,0.00005506121,0.000149558,0.002837965,0.00004893824,0.00005121591,0.0001097977,0.000005322451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987205,0.0001143248,0.0003450124,0.00004072315,0.000002142578,0.000006063657,0.0002081808,0.00001125833,0.0005518354],"genre_scores_gemma":[0.9995487,0.00002886534,0.0001418688,0.000006377517,0.000002246924,0.000005318299,0.00013266,0.000002812582,0.0001310349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06176723,"threshold_uncertainty_score":0.1228154,"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."}}