{"id":"W4414447155","doi":"10.1016/j.apsoil.2025.106480","title":"Degradation mapping in Southeast Asia using a partial soil health index based on physicochemical indicators","year":2025,"lang":"en","type":"article","venue":"Applied Soil Ecology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Chiang Mai University","keywords":"Pedotransfer function; Southeast asia; Soil health; Soil carbon; Bulk density; Index (typography); Soil retrogression and degradation; Human health; Soil organic matter; Soil test","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005902828,0.0001994029,0.0003169889,0.0001934865,0.0001481609,0.00001185001,0.0002235875,0.0001866207,0.0002905759],"category_scores_gemma":[0.00003227575,0.0002156194,0.00004910854,0.0005378239,0.0002780358,0.00004214768,0.0001752985,0.0003377479,0.0002053768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131135,"about_ca_system_score_gemma":0.0001131811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000238999,"about_ca_topic_score_gemma":0.0002987651,"domain_scores_codex":[0.9980618,0.0001568164,0.000418742,0.0005530064,0.0002606018,0.0005490052],"domain_scores_gemma":[0.999284,0.0001174057,0.0001529698,0.0003333798,0.000001144548,0.0001111055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598548,0.001527144,0.5696687,0.00006049749,0.00003711784,0.0000108575,0.0006541207,0.330861,0.04232517,0.003253998,0.0006072671,0.05083427],"study_design_scores_gemma":[0.002579361,0.0001009208,0.8292529,0.00005215337,0.00002016311,0.000001905333,0.001007432,0.1416471,0.02092131,0.001674937,0.00220456,0.0005372561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820523,0.000003754079,0.005970862,0.0009145843,0.0001323293,0.0004151185,0.000003113867,0.00003800941,0.01046992],"genre_scores_gemma":[0.9974197,0.000002223229,0.0008815051,0.001470358,0.00003289128,0.0001268447,0.00001648027,0.00001811872,0.0000318429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2595842,"threshold_uncertainty_score":0.8792704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210950802106967,"score_gpt":0.2520060501093098,"score_spread":0.2398965420882401,"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."}}