{"id":"W4411875893","doi":"10.3389/fclim.2025.1592626","title":"Enhanced weathering of kimberlite residues in a field experiment: implications for carbon removal quantification and mine waste valorization","year":2025,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Kimberlite; Weathering; Environmental science; Carbon fibers; Waste management; Geochemistry; Environmental chemistry; Geology; Mining engineering; Chemistry; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006114778,0.0005598905,0.0004220959,0.0002003465,0.0007179757,0.0005183494,0.0006046797,0.0004367793,0.0005179314],"category_scores_gemma":[0.0005118528,0.0002747094,0.0002833045,0.000257208,0.0005165019,0.0002720306,0.0002265106,0.0005042788,0.00009664352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002909751,"about_ca_system_score_gemma":0.001515999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1574837,"about_ca_topic_score_gemma":0.3929174,"domain_scores_codex":[0.9997095,0.00003895633,0.00001969066,0.0001137001,0.00007203213,0.00004607225],"domain_scores_gemma":[0.9993256,0.0001359896,0.0001517319,0.00008152865,0.0001859508,0.0001190814],"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":[0.0006706185,0.000229888,0.01552215,0.00007473856,0.00002683385,0.00004648458,0.0001181704,0.0003890078,0.9804676,0.00002531228,0.0000531735,0.002375972],"study_design_scores_gemma":[0.0001526978,0.00423965,0.3015151,0.00001561734,0.0001204908,0.0001124368,0.0003132768,0.003663697,0.6874869,0.00008069231,0.002263961,0.00003545619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973817,0.0000505879,0.00158153,0.00002796053,0.000005403988,0.0001554176,0.0003955441,0.00002726325,0.0003747],"genre_scores_gemma":[0.9845363,0.0001794396,0.01158388,0.0001894761,0.000006377248,0.0003754254,0.0009074787,0.00002615105,0.002195448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1574837,"threshold_uncertainty_score":0.313134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478471478364511,"score_gpt":0.2946832852377901,"score_spread":0.279898570454145,"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."}}