{"id":"W4364378817","doi":"10.1177/03091333231169431","title":"Role of Andean tropical montane soil organic carbon in the deglacial carbon budget","year":2023,"lang":"en","type":"article","venue":"Progress in Physical Geography Earth and Environment","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Deglaciation; Soil carbon; Last Glacial Maximum; Environmental science; Carbon cycle; Montane ecology; Thinning; Total organic carbon; Geology; Soil water; Physical geography; Earth science; Climatology; Glacial period; Ecology; Ecosystem; Soil science; Geomorphology; Geography; Forestry","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":[0.0002064449,0.0002659271,0.0001564695,0.0004501327,0.0004383911,0.001055331,0.0002823184,0.0002895771,0.001199437],"category_scores_gemma":[0.0003542262,0.0001187182,0.0002110808,0.0006255708,0.0003744374,0.0005566654,0.0003985363,0.0001489744,0.0001281431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328897,"about_ca_system_score_gemma":0.001101953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05790971,"about_ca_topic_score_gemma":0.09089484,"domain_scores_codex":[0.9999381,0.00001241292,0.000003519922,0.00001760127,0.000008357164,0.0000199406],"domain_scores_gemma":[0.9999022,0.0000173277,0.00002826598,0.00000870858,0.00001832605,0.00002515584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001737373,0.00005636772,0.8731963,0.0002236399,0.0003190238,0.0005557043,0.0005520575,0.05006322,0.03266849,0.006501534,0.0008386381,0.03485128],"study_design_scores_gemma":[0.00002941808,0.00003651166,0.9154293,0.00005780051,0.0001374209,0.0001647422,0.0006519413,0.0662792,0.002731472,0.003719346,0.01072092,0.0000418742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921324,0.001948054,0.0009687396,0.000651587,0.00001237623,0.000006384636,0.0004259584,0.00006098189,0.003793516],"genre_scores_gemma":[0.9986169,0.0006540001,0.000305146,0.00002821478,0.000006926236,0.00000247016,0.0001097174,0.000009987782,0.00026662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05790971,"threshold_uncertainty_score":0.1151453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006268846645514518,"score_gpt":0.2048291663982296,"score_spread":0.1985603197527151,"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."}}