{"id":"W4414141624","doi":"10.1088/2752-664x/ae04f0","title":"Long-term expansion of satellite-measured beaver pond area after boreal forest fire","year":2025,"lang":"en","type":"article","venue":"Environmental Research Ecology","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada","funders":"","keywords":"Beaver; Castor canadensis; Taiga; Boreal; Shrub; Vegetation (pathology); Disturbance (geology)","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":[0.0002217737,0.0001339523,0.0001541992,0.0005786493,0.0003202195,0.0003870846,0.0002228311,0.0001591098,0.000498205],"category_scores_gemma":[0.000804174,0.0000974358,0.0001100056,0.0005761978,0.0002253199,0.0002079658,0.000193774,0.0001566476,0.000106661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009844323,"about_ca_system_score_gemma":0.000376039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2307913,"about_ca_topic_score_gemma":0.4884524,"domain_scores_codex":[0.9998714,0.00001251924,0.000008019719,0.00003600625,0.00004136519,0.00003076536],"domain_scores_gemma":[0.999218,0.00007090497,0.000312469,0.00004183433,0.0002148967,0.0001419427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004798358,0.00001514945,0.9965937,0.000004122669,0.00001447067,0.00003399636,0.0001089011,0.000172414,0.001069114,0.00000502583,0.00008638989,0.001848695],"study_design_scores_gemma":[4.607741e-7,0.00000642432,0.9996996,8.194282e-7,0.000001822002,0.00001404049,0.00004552865,0.0001416021,0.00005134168,0.000001247103,0.00003645368,6.288517e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994608,0.00002034074,0.00005554587,0.000003597867,0.000001235958,0.000002029846,0.0002550003,0.000003775534,0.0001977449],"genre_scores_gemma":[0.999492,0.00001478438,0.00007869679,0.00000286257,0.00000110926,0.000002997179,0.0002973911,8.514421e-7,0.0001094152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307913,"threshold_uncertainty_score":0.4588959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575534362678142,"score_gpt":0.2794370336334928,"score_spread":0.2536816900067113,"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."}}