{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177126,0.0004475148,0.0003119132,0.0004434501,0.0003697135,0.0005664452,0.0005701265,0.0003125121,0.0003767291],"category_scores_gemma":[0.001448074,0.0002577605,0.000215656,0.0005786044,0.0003392618,0.0002985354,0.0003287466,0.0002477719,0.0001549539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131582,"about_ca_system_score_gemma":0.000581755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05178561,"about_ca_topic_score_gemma":0.1247108,"domain_scores_codex":[0.9993819,0.00007688643,0.00004775918,0.0002562356,0.0001959271,0.00004120748],"domain_scores_gemma":[0.9993528,0.0001356448,0.0001740915,0.0001093134,0.0001973424,0.00003078799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000515232,0.0001717228,0.2381894,0.0002032467,0.0001278317,0.00008510036,0.0006143815,0.004004145,0.7267847,0.0001134079,0.0001852193,0.02900563],"study_design_scores_gemma":[0.00005857632,0.000338818,0.6813233,0.00003027491,0.0001018709,0.000153456,0.0004520416,0.03805507,0.2760366,0.0001428525,0.003267145,0.00003996159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9856044,0.0001923153,0.01254807,0.00002281875,0.000008140056,0.0001384214,0.0006888699,0.00008756378,0.0007095342],"genre_scores_gemma":[0.9804779,0.0002447248,0.01764322,0.00003713688,0.000002777949,0.0001908665,0.0007559356,0.00004241796,0.0006050889],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05178561,"threshold_uncertainty_score":0.1029684,"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."}}