{"id":"W6920877859","doi":"10.6073/pasta/c7866f5b50a61227a11bd351f4e5250d","title":"Cellulose, Peat, and Mixed Vegetation in situ Decomposition in a Fen Exposed to Increasing Nitrogen Treatments, 2012-2015","year":2020,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sphagnum; Decomposition; Peat; Nitrogen; Moss; Litter; Vegetation (pathology)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005742685,0.0008508483,0.0008642768,0.0007566781,0.0001042677,0.0001245274,0.0007932829,0.0003457161,0.0001490456],"category_scores_gemma":[0.0001549803,0.0009910745,0.00005715692,0.0004418718,0.0001794823,0.001741104,0.00168291,0.0006692768,0.005348944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936677,"about_ca_system_score_gemma":0.00008137281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008081467,"about_ca_topic_score_gemma":0.003451108,"domain_scores_codex":[0.9948419,0.00138807,0.0008775327,0.001680083,0.000617891,0.0005944841],"domain_scores_gemma":[0.9976627,0.0003595627,0.0005001131,0.00110859,0.000006403262,0.0003626621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001222659,0.001354629,0.003996295,0.0001042806,0.0003054028,0.0006878361,0.001632328,0.00001460016,0.02974149,7.781908e-7,0.9603919,0.0005477582],"study_design_scores_gemma":[0.02748708,0.003334063,0.5167841,0.003012815,0.002548817,0.0002446311,0.006346865,0.000715044,0.02375633,0.0005859031,0.4083225,0.006861857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.154619,0.0006996874,0.00001088367,0.00005472724,0.00008075654,0.001750108,0.8426817,0.00003136509,0.00007175656],"genre_scores_gemma":[0.1549343,0.0003307156,0.001408076,0.0002576351,0.00008941516,0.0002119122,0.8426473,0.0001177763,0.000002843493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5520694,"threshold_uncertainty_score":0.999254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025705703530497,"score_gpt":0.2875668517621341,"score_spread":0.2473097947268291,"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."}}