{"id":"W6976724569","doi":"10.60692/wy1ka-7bc07","title":"Dataset for paper \"Overestimated nitrogen loss from denitrification for natural terrestrial ecosystems in CMIP6 Earth System Models\" authored by Feng et al.","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Earth system science; Ecosystem; Terrestrial ecosystem; Denitrification; Nitrogen; Natural (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000895593,0.00164386,0.001119168,0.001755681,0.0007350876,0.001362909,0.002552631,0.002012869,0.07365829],"category_scores_gemma":[0.004138706,0.0005900239,0.001738441,0.003057607,0.0003065834,0.001296631,0.00143769,0.001563716,0.04733464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140291,"about_ca_system_score_gemma":0.001711963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0395749,"about_ca_topic_score_gemma":0.04893629,"domain_scores_codex":[0.9993834,0.00007404896,0.0000677253,0.0001759085,0.0002072376,0.00009160271],"domain_scores_gemma":[0.997269,0.0006926333,0.000213619,0.0005566567,0.001088539,0.0001795627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006725291,0.00002666108,0.001501707,0.0003987232,0.000054465,0.0000228603,0.00001295886,0.001400238,0.0001906955,0.0003179017,0.9938306,0.00217603],"study_design_scores_gemma":[0.0008681105,0.00003589428,0.01913842,0.000329735,0.00007342992,0.00005803458,0.0001150571,0.003684132,0.001310526,0.001709209,0.9726031,0.00007433476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002881247,0.00003356959,0.00008593562,0.00008192765,0.00006330643,0.00001030939,0.9981799,0.0003681199,0.0008887855],"genre_scores_gemma":[0.001038253,0.00003764394,0.0003042614,0.00005370368,0.00001641616,0.00005264371,0.9976666,0.0001165566,0.0007139986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07365829,"threshold_uncertainty_score":0.2464115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499663756216363,"score_gpt":0.2299817823234908,"score_spread":0.1949851447613272,"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."}}