{"id":"W4414575341","doi":"10.20944/preprints202509.2142.v1","title":"Soil Calcimetry Dynamics to Monitor Weathering Flux: Method Calibration in Wollastonite-Amended Croplands","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Impact Fund","keywords":"Weathering; Carbonate; Dissolution; Soil water; Carbonate minerals; Precipitation; Temperate climate; Carbon dioxide; Soil production function; Carbon dioxide in Earth's atmosphere","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007788534,0.0004120471,0.0004755792,0.0002537042,0.0001200876,0.00006314425,0.0006822951,0.0003674074,0.001139534],"category_scores_gemma":[0.0002579397,0.000469757,0.0001054119,0.0004945685,0.00006378861,0.00009680543,0.003935342,0.0007838368,0.0005415434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036232,"about_ca_system_score_gemma":0.00006758792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894182,"about_ca_topic_score_gemma":0.001636515,"domain_scores_codex":[0.9971048,0.0001550494,0.0006079663,0.001207777,0.0004169558,0.0005074432],"domain_scores_gemma":[0.998445,0.0001666342,0.0001950698,0.0009658052,0.0000242111,0.0002032829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005872256,0.0001397686,0.8075101,0.0001234656,0.00005273932,0.00002719874,0.001340133,0.1730941,0.006329356,0.0002270323,0.00009654371,0.01100088],"study_design_scores_gemma":[0.0006716558,0.00004019761,0.7294141,0.0004880562,0.00006752447,0.000006480409,0.0004837582,0.2288232,0.03071728,0.006308694,0.00184268,0.001136372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866269,0.00001676444,0.08812517,0.0002664811,0.0009195508,0.0007136493,0.0001453374,0.000132886,0.02305325],"genre_scores_gemma":[0.9755453,0.00002314793,0.01499739,0.0001862523,0.00008061156,0.0002374663,0.0001398885,0.0000398094,0.008750142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08891837,"threshold_uncertainty_score":0.9997754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544179014188682,"score_gpt":0.3394703417299504,"score_spread":0.2940285515880636,"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."}}