{"id":"W2048490802","doi":"10.1144/geochem2014-279","title":"Mobile Metal Ion <sup>®</sup> analysis of European agricultural soils: bioavailability, weathering, geogenic patterns and anthropogenic anomalies","year":2014,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada)","funders":"","keywords":"Weathering; Soil water; Bioavailability; Environmental chemistry; Geochemistry; Environmental science; Earth science; Agriculture; Heavy metals; Geology; Chemistry; Soil science; Archaeology; Geography","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":[0.0003696575,0.0003274781,0.0002196947,0.001388232,0.0002629426,0.0005013212,0.0002330234,0.0003214896,0.000460282],"category_scores_gemma":[0.0004262125,0.0001317366,0.0001872548,0.001109683,0.0002407624,0.0002162853,0.0002883372,0.0001411762,0.0002255946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839199,"about_ca_system_score_gemma":0.0001283236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002954701,"about_ca_topic_score_gemma":0.003299707,"domain_scores_codex":[0.9997874,0.00002597046,0.00001988954,0.00007658861,0.00006934821,0.0000208375],"domain_scores_gemma":[0.9997236,0.00004054156,0.00009463666,0.00001366725,0.0001007888,0.00002672883],"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":[0.0008595839,0.0000931642,0.277389,0.0002233668,0.0002026092,0.0004033532,0.0005419953,0.00147683,0.6575934,0.0001377099,0.000254883,0.06082416],"study_design_scores_gemma":[0.00001271962,0.0002862645,0.8675407,0.00001279808,0.00005428029,0.001027672,0.0002745097,0.001416946,0.1250027,0.0001300166,0.004224919,0.00001656867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976538,0.0003901454,0.001031113,0.00001319215,0.000002089743,0.000004674145,0.0005101674,0.0000164722,0.0003783065],"genre_scores_gemma":[0.9940466,0.0004882501,0.0028939,0.00002510257,0.000006742974,0.00000961674,0.001536387,0.00001434302,0.0009791004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002954701,"threshold_uncertainty_score":0.005874991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083262168558193,"score_gpt":0.1982757167766249,"score_spread":0.187443095091043,"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."}}