{"id":"W4413467376","doi":"10.3390/f16081330","title":"Recovery Rates of Black Spruce and Tamarack on Lowland Seismic Lines in Alberta, Canada","year":2025,"lang":"en","type":"article","venue":"Forests","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Alberta Environment and Protected Areas; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Black spruce; Forestry; Geography; Taiga","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005751838,0.00007098236,0.0001260202,0.00003020585,0.00002015186,0.00000535023,0.00007563682,0.00004238596,0.0001089233],"category_scores_gemma":[0.0000444832,0.00005820799,0.00001201189,0.0001051174,0.000065728,0.00003602871,0.0000598422,0.00005340579,0.000011727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006273193,"about_ca_system_score_gemma":0.00003995968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5876095,"about_ca_topic_score_gemma":0.9920647,"domain_scores_codex":[0.9995038,0.00001799381,0.0001275548,0.0001518434,0.00005928374,0.0001395569],"domain_scores_gemma":[0.9996923,0.0001431017,0.00003350051,0.0000988579,0.000002492608,0.00002978967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004362642,0.00001899694,0.9817961,0.00001101563,0.000003781938,0.000007087594,0.0000283581,0.002625397,0.00004597048,0.00003122843,0.01449122,0.0008971617],"study_design_scores_gemma":[0.0003449809,0.00006257396,0.9876553,0.00002720253,0.000003164815,0.000001119177,0.000007334986,0.003482538,0.0003850299,0.000956427,0.00701393,0.00006040891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99135,0.00001796618,0.00000594172,0.0008118575,0.00008587787,0.00007828008,0.000006706306,0.00000190646,0.007641461],"genre_scores_gemma":[0.9953394,0.00003315209,0.00001475704,0.0003980788,0.0000100625,0.000003573718,0.000009122558,0.000003015727,0.004188858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044552,"threshold_uncertainty_score":0.4151367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004857090035526764,"score_gpt":0.2173806934267687,"score_spread":0.212523603391242,"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."}}