{"id":"W4408548033","doi":"10.26434/chemrxiv-2025-gbt98","title":"Methodological considerations for anticipating wildfire ash-associated organic carbon changes in water supplies","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Environmental science; Total organic carbon; Carbon fibers; Natural resource economics; Waste management; Environmental chemistry; Computer science; Engineering; Chemistry; Economics","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":[0.04378161,0.00100588,0.0009816492,0.001486724,0.001475421,0.004354234,0.00324904,0.002173172,0.002263052],"category_scores_gemma":[0.05418969,0.0007051942,0.0009867671,0.001803397,0.001820557,0.003251113,0.002948346,0.001836111,0.0007338343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764806,"about_ca_system_score_gemma":0.007017738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006843891,"about_ca_topic_score_gemma":0.02049925,"domain_scores_codex":[0.9774352,0.01483173,0.002297432,0.002167156,0.002810418,0.0004580414],"domain_scores_gemma":[0.975068,0.009010734,0.004236592,0.003007575,0.00798252,0.0006945264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003755175,0.002237867,0.1710443,0.01115426,0.001017185,0.001383182,0.009294661,0.0183696,0.3039554,0.02778421,0.009337796,0.4406663],"study_design_scores_gemma":[0.0009721228,0.0118925,0.1931041,0.007569197,0.002034674,0.001002383,0.04547026,0.05715863,0.3269033,0.1183437,0.2345118,0.001037342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2551252,0.006724202,0.6780904,0.01451691,0.001750064,0.01694094,0.004187553,0.0008122894,0.02185252],"genre_scores_gemma":[0.3106851,0.005377103,0.6647288,0.002377144,0.0002818443,0.012973,0.001132568,0.0001155198,0.002328918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04378161,"threshold_uncertainty_score":0.2315421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161504110477759,"score_gpt":0.3001718268030994,"score_spread":0.1840214157553235,"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."}}