{"id":"W4392604262","doi":"10.5194/egusphere-egu24-12028","title":"The Quantification of Ultramafic Mine Waste Reactivity for Carbon Mineralization","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ultramafic rock; Mineralization (soil science); Reactivity (psychology); Geochemistry; Carbon fibers; Environmental science; Geology; Waste management; Engineering; Soil science; Computer science; Medicine; Soil water","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":[0.0006268866,0.0004999161,0.0003042351,0.00105839,0.0003446428,0.0008268598,0.0004696944,0.0007902876,0.0008657814],"category_scores_gemma":[0.001098624,0.0002587931,0.0004734965,0.0009761913,0.0003719234,0.0005387847,0.000391728,0.0007166659,0.0003828103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261359,"about_ca_system_score_gemma":0.0004429359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711008,"about_ca_topic_score_gemma":0.004096163,"domain_scores_codex":[0.9993389,0.00007915785,0.00003982076,0.0001393823,0.0003530252,0.00004974221],"domain_scores_gemma":[0.999579,0.0001659281,0.00008402139,0.00004368894,0.0001083023,0.00001900491],"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":[0.00009567325,0.00006149369,0.005018993,0.000182127,0.00003095741,0.00004739039,0.00008648248,0.0009181848,0.9783932,0.0003781532,0.0001302221,0.01465731],"study_design_scores_gemma":[0.000006841366,0.0001935345,0.02652991,0.00003948979,0.00003572126,0.0001689183,0.0001446183,0.01455177,0.954963,0.0003858647,0.002947481,0.00003290132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207134,0.002988183,0.06894819,0.0001600389,0.00006022628,0.0002344007,0.002485946,0.0003458555,0.00406372],"genre_scores_gemma":[0.9421146,0.002540544,0.0521519,0.0001369278,0.00002457638,0.0002686023,0.001054235,0.00006687016,0.001641846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711008,"threshold_uncertainty_score":0.003402114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638130681039996,"score_gpt":0.2634196155474928,"score_spread":0.2370383087370929,"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."}}