{"id":"W2000623475","doi":"10.1890/13-0336.1","title":"Enhancing species distribution modeling by characterizing predator–prey interactions","year":2013,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecology; Habitat; Ecological niche; Trophic level; Predation; Species distribution; Geography; Carnivore; Snowshoe hare; Niche; Spatial distribution; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001080815,0.0001050372,0.0001026001,0.00001113942,0.0004399537,0.00005120178,0.0001804445,0.00009016998,0.01012095],"category_scores_gemma":[0.00005657971,0.00009605011,0.00004134199,0.0001759435,0.00009044701,0.0004295649,0.000130568,0.0001732479,0.004291967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859487,"about_ca_system_score_gemma":0.000006626011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005157857,"about_ca_topic_score_gemma":0.0001213014,"domain_scores_codex":[0.999088,0.00004020749,0.0002528645,0.0002968377,0.00009094301,0.0002311087],"domain_scores_gemma":[0.9995167,0.0001130925,0.00008233002,0.0001836213,0.00001900843,0.00008527983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001340947,0.001310986,0.6529375,0.00001202692,0.00004247948,8.347779e-7,0.0002268845,0.002064747,0.2429341,0.004705126,0.08824133,0.007510554],"study_design_scores_gemma":[0.0001173731,0.00003573519,0.9146855,0.000003989429,0.00001497105,0.000004226194,0.0001144964,0.02618191,0.001555568,0.003700964,0.05336102,0.0002241946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8717381,0.000006147877,0.1217505,0.002671932,0.00005741398,0.0005480527,0.00002940541,0.0001185721,0.003079885],"genre_scores_gemma":[0.9945398,0.00001475827,0.0009345917,0.0008295877,0.00006638802,0.001736886,0.0003604034,0.000005979355,0.001511637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261748,"threshold_uncertainty_score":0.9964833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139067174515064,"score_gpt":0.2206914013280451,"score_spread":0.2067846838765387,"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."}}