{"id":"W2077104426","doi":"10.1890/12-1683.1","title":"Fire, humans, and climate: modeling distribution dynamics of boreal forest waterbirds","year":2013,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ecology; Occupancy; Habitat; Species distribution; Environmental science; Land cover; Interspecific competition; Geography; Land use; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001100567,0.0005163613,0.0002898871,0.0005100846,0.0004320116,0.0007969289,0.0008397684,0.0006278058,0.0007042993],"category_scores_gemma":[0.002391867,0.0005497639,0.0005932873,0.0003506461,0.0004027288,0.0006451313,0.0004204259,0.0004301264,0.00007831815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175503,"about_ca_system_score_gemma":0.0007968028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2087702,"about_ca_topic_score_gemma":0.1996503,"domain_scores_codex":[0.9998103,0.00007228078,0.00001138904,0.00005860224,0.00001419251,0.00003321067],"domain_scores_gemma":[0.999035,0.0005994407,0.0001704894,0.00003557917,0.00005772295,0.0001016546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001303344,0.0001337917,0.169357,0.0000190847,0.0001405722,0.00005531909,0.000124804,0.8204415,0.0002818395,0.0008010503,0.0003621718,0.008152419],"study_design_scores_gemma":[0.00001156189,0.00002140152,0.01423252,0.000002883974,0.00001878648,0.00001322431,0.00003312286,0.9852026,0.0000355951,0.0002927525,0.0001306359,0.000005031286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914173,0.0001874738,0.007106165,0.0002153477,0.00001279523,0.00001623768,0.000364398,0.00006624252,0.0006140908],"genre_scores_gemma":[0.9955361,0.00008536003,0.003707461,0.00001929187,0.00001727576,0.00001805841,0.0002258256,0.000008474547,0.0003821325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2087702,"threshold_uncertainty_score":0.41511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706145635833858,"score_gpt":0.2362822925094613,"score_spread":0.2192208361511227,"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."}}