{"id":"W4313506023","doi":"10.1007/978-3-031-17425-4_10","title":"Synthesis of Fast-Weathering Nutrient-Doped Silicate Minerals and Their Prospect as a Negative Emissions Technology","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Weathering; Silicate; Environmental science; Silicate minerals; Nutrient; Environmental chemistry; Materials science; Astrobiology; Earth science; Geochemistry; Geology; Chemistry; Biology; Organic chemistry","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":[0.00009854071,0.0001917728,0.000109282,0.0001418282,0.0001200741,0.0003116897,0.0002120913,0.0002019651,0.001787485],"category_scores_gemma":[0.00008754348,0.0001096981,0.0001627372,0.0001411135,0.0002010329,0.0005635703,0.000266727,0.0003683828,0.0006324186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003015797,"about_ca_system_score_gemma":0.0002015192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525529,"about_ca_topic_score_gemma":0.0009667709,"domain_scores_codex":[0.9999682,0.000002378799,0.000001661674,0.000007238115,0.00001473987,0.000005785326],"domain_scores_gemma":[0.999979,0.000005538882,0.000003210266,0.000003089754,0.000005690732,0.000003420375],"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":[0.00006348552,0.0000390894,0.0001378111,0.0003692391,0.000009973125,0.0001195179,0.00009781987,0.0008753376,0.9249431,0.02418798,0.001853078,0.04730355],"study_design_scores_gemma":[0.00001023066,0.000172699,0.0003785751,0.00002192648,0.0000107843,0.000252982,0.00004510531,0.001908308,0.9056953,0.004853439,0.0866385,0.00001218334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.683109,0.03966166,0.08106852,0.00129851,0.001063306,0.0001056177,0.0007380162,0.0006729029,0.1922824],"genre_scores_gemma":[0.8413317,0.01617565,0.05118154,0.0002969844,0.00009859321,0.00006368468,0.0005773755,0.0002047379,0.09006978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001787485,"threshold_uncertainty_score":0.005979717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316596874602713,"score_gpt":0.2017539583913273,"score_spread":0.1885879896453001,"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."}}