{"id":"W4283156234","doi":"10.1002/jwmg.22280","title":"Influence of landscape attributes on Virginia opossum density","year":2022,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Animal and Plant Health Inspection Service; U.S. Department of Energy","keywords":"Ecology; Opossum; Didelphis; Geography; Riparian zone; Swamp; Range (aeronautics); Habitat; Abundance (ecology); Wetland; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002483537,0.0001329448,0.0001450918,0.000449673,0.0002217504,0.000603384,0.000194779,0.0001547799,0.001779467],"category_scores_gemma":[0.001713604,0.00006239703,0.0001906157,0.0003775605,0.0001751988,0.0001773306,0.0002502843,0.000189263,0.0001128233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259351,"about_ca_system_score_gemma":0.000115164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.014879,"about_ca_topic_score_gemma":0.03040101,"domain_scores_codex":[0.9997864,0.0000783204,0.0000115894,0.00005504321,0.00003283841,0.00003573343],"domain_scores_gemma":[0.9987354,0.0006076749,0.0002948535,0.00006737658,0.00009793992,0.0001967319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004154231,0.00003045646,0.997308,0.000002588177,0.00004832329,0.00003339467,0.00003283319,0.0002011014,0.0004082012,0.00002091799,0.0000680981,0.001804537],"study_design_scores_gemma":[6.893129e-7,0.00002890125,0.9991871,0.000001975196,0.00001391002,0.00003600841,0.00008810749,0.0004939223,0.00004934286,0.00001350987,0.00008524959,0.000001235603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995297,0.00004131333,0.00004516486,0.00001064023,0.000001690906,0.000001256954,0.0001037067,0.000002418745,0.0002641423],"genre_scores_gemma":[0.99979,0.00001342297,0.00002567824,0.000003655855,0.000001303819,0.000001204293,0.00007997083,0.000001060942,0.00008383772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.014879,"threshold_uncertainty_score":0.02958477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491745946467086,"score_gpt":0.2106248575808158,"score_spread":0.2031331116343487,"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."}}