{"id":"W4413056729","doi":"10.1007/s42729-025-02620-8","title":"Correction to: Predicting Potential Soil Nitrogen Mineralization Using Pyrolysis-coupled FTIR","year":2025,"lang":"en","type":"article","venue":"Journal of soil science and plant nutrition","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Fourier transform infrared spectroscopy; Mineralization (soil science); Nitrogen; Pyrolysis; Environmental chemistry; Chemistry; Environmental science; Soil science; Chemical engineering; Engineering; Organic chemistry","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":[0.002762927,0.00288563,0.002779805,0.004877042,0.002107742,0.003027413,0.00421701,0.005547431,0.1113973],"category_scores_gemma":[0.03324991,0.001462084,0.001999316,0.003031343,0.001431984,0.002361677,0.002939004,0.00664127,0.05853641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003188314,"about_ca_system_score_gemma":0.004271462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009540582,"about_ca_topic_score_gemma":0.01547593,"domain_scores_codex":[0.995968,0.0004440254,0.0006451216,0.0006101013,0.001939913,0.0003928701],"domain_scores_gemma":[0.9644595,0.003562756,0.001443172,0.00219496,0.02634863,0.001991056],"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":[0.00006451587,0.00001502531,0.0001192304,0.0002460879,0.00002156745,0.0001327407,0.00001920942,0.0001288187,0.0003642532,0.0002870525,0.9896734,0.008928035],"study_design_scores_gemma":[0.00008619694,0.00004691527,0.002369238,0.0002194308,0.00005728389,0.0006175573,0.000104538,0.00148395,0.001984416,0.001660728,0.9912829,0.00008681087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003589071,0.0008013296,0.001499512,0.01567197,0.9783379,0.00003032073,0.001292758,0.000837391,0.00116985],"genre_scores_gemma":[0.04009796,0.007465804,0.01803812,0.05968525,0.5121382,0.0004544674,0.009204362,0.004610129,0.3483057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1113973,"threshold_uncertainty_score":0.3726613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008374265918915099,"score_gpt":0.2263813821907383,"score_spread":0.2180071162718231,"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."}}