{"id":"W4394583020","doi":"10.1111/jvs.13251","title":"Experimental warming and nitrogen deposition in clear‐cuts and forest edges: Assessing impacts on plant communities and tree seedling performance","year":2024,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Seedling; Nitrogen; Environmental science; Global warming; Deposition (geology); Climate change; Tree (set theory); Plant community; Agroforestry; Ecology; Agronomy; Biology; Mathematics; Ecological succession; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006377599,0.00007519564,0.0001007519,0.0001502925,0.0003100079,0.0002673412,0.00007074336,0.00001817312,0.000001417634],"category_scores_gemma":[0.00003742232,0.00005857138,0.00001177118,0.0002025892,0.0003544728,0.001239527,0.00007001373,0.0001324899,0.000001101562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000932506,"about_ca_system_score_gemma":0.00001946922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006517176,"about_ca_topic_score_gemma":0.00007158929,"domain_scores_codex":[0.9992359,0.00003138438,0.0001886965,0.0001023827,0.0002984715,0.0001431402],"domain_scores_gemma":[0.9996564,0.0001472986,0.00007277252,0.00003547099,0.00001160706,0.00007644197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006910627,0.00004621365,0.8139586,0.00007907256,0.000009424019,0.00003259073,0.02978014,0.001412797,0.1204224,0.00005645084,0.000006495445,0.03412667],"study_design_scores_gemma":[0.0002764082,0.0003463992,0.9221101,0.0005986898,0.000008813877,0.0002519982,0.007362664,0.04430311,0.02441403,0.0002068541,0.0000108533,0.0001100914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972222,0.001907651,0.0001113232,0.00007779885,0.0001004429,0.0000416261,2.915914e-7,0.000005862443,0.0005327362],"genre_scores_gemma":[0.9988813,0.0003614859,0.0006697059,0.00005847601,0.00002222536,9.13819e-7,2.357973e-7,0.000003853265,0.000001742222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081515,"threshold_uncertainty_score":0.2577978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951850980378271,"score_gpt":0.2834507244547038,"score_spread":0.2539322146509211,"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."}}