{"id":"W2912329825","doi":"10.4025/actasciagron.v41i1.39708","title":"Geochemical signatures and weathering rates in soils derived from different granites in contrasting climatic locations","year":2018,"lang":"en","type":"article","venue":"Acta Scientiarum Agronomy","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Weathering; Soil water; Geology; Parent rock; Clay minerals; Geochemistry; Amphibole; Feldspar; Chemical composition; Nutrient; Mineralogy; Soil science; Chemistry; Quartz","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":[0.0002168116,0.0003011709,0.0002789217,0.001616912,0.0004243226,0.0007854833,0.0002263502,0.0002954727,0.0002685202],"category_scores_gemma":[0.0004520781,0.0002359578,0.000237862,0.001373227,0.0005329652,0.000270351,0.0004780181,0.0001612056,0.00009936636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004619085,"about_ca_system_score_gemma":0.0002723334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009694989,"about_ca_topic_score_gemma":0.02622258,"domain_scores_codex":[0.9998263,0.00002081738,0.00001821807,0.00006722277,0.00003510529,0.00003235563],"domain_scores_gemma":[0.9997163,0.00003771973,0.0001290259,0.00001755623,0.00006249171,0.00003683345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007343324,0.00004319592,0.8281806,0.0001150802,0.0001322767,0.0004088099,0.002265164,0.0004528096,0.1569605,0.0001434342,0.0000274189,0.01053626],"study_design_scores_gemma":[0.000005865859,0.00004509344,0.9956268,0.000004464319,0.00002214664,0.0002529343,0.0007042785,0.0002528009,0.002660838,0.00005648061,0.000361341,0.000006977249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996186,0.00005561884,0.00007702252,0.000003238093,4.610273e-7,0.000002917266,0.00005372969,0.00000309516,0.0001853252],"genre_scores_gemma":[0.9994866,0.00005600524,0.0002499101,0.000002931762,8.002688e-7,0.00000295239,0.0001128551,0.000003013766,0.00008479611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009694989,"threshold_uncertainty_score":0.0192771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404964739817344,"score_gpt":0.2575258182076697,"score_spread":0.2434761708094963,"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."}}