{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001913154,0.0004877225,0.0004272456,0.0002649495,0.0006373537,0.0005227468,0.0004258961,0.0003522552,0.0004836104],"category_scores_gemma":[0.0001468495,0.0002500525,0.0003038012,0.0002007624,0.0003721203,0.0002358476,0.000327628,0.0005028285,0.00008804857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968073,"about_ca_system_score_gemma":0.001019158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08362071,"about_ca_topic_score_gemma":0.2136908,"domain_scores_codex":[0.9998273,0.00001099134,0.000007687893,0.00007551943,0.0000358968,0.00004253555],"domain_scores_gemma":[0.9997763,0.00002265271,0.00004549256,0.00001250727,0.00006309347,0.00008000131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002542265,0.0003175758,0.06773321,0.00009376919,0.00008466068,0.0002036041,0.000498925,0.0003522882,0.9241465,0.00004481153,0.000119994,0.003862344],"study_design_scores_gemma":[0.00002266016,0.0009788475,0.9082782,0.00001057778,0.00005766439,0.00009562747,0.0006454088,0.001225036,0.08766803,0.00004898933,0.0009529341,0.00001590508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9992484,0.00008173184,0.0001118083,0.00000847622,0.000004705281,0.00001006756,0.0002242997,0.000006153992,0.0003042658],"genre_scores_gemma":[0.9955631,0.0001159782,0.0008799955,0.00006042634,0.000005285134,0.00005108358,0.0007509312,0.000009538214,0.002563589],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08362071,"threshold_uncertainty_score":0.166268,"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."}}