{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001062427,0.0002928991,0.000500689,0.0001963226,0.0001177324,0.00002133962,0.0002216563,0.0002201597,0.005010566],"category_scores_gemma":[0.00007349183,0.0001934475,0.0001432951,0.0001584659,0.0002192672,0.00004911091,0.00006141292,0.0001815931,0.0001649561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000376213,"about_ca_system_score_gemma":0.0000284829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007690271,"about_ca_topic_score_gemma":0.0006378008,"domain_scores_codex":[0.998896,0.000007384204,0.0003120914,0.0004165518,0.000143255,0.0002247318],"domain_scores_gemma":[0.9992395,0.000180123,0.0001907514,0.0002550182,0.00004529707,0.00008933535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009076735,0.000359557,0.09767832,0.002760636,0.009943135,0.0004663818,0.004133148,0.0009645048,0.1261917,0.08591178,0.006138261,0.6645449],"study_design_scores_gemma":[0.0007213228,0.0005292586,0.001677231,0.001338873,0.0008559683,0.0001222052,0.005994814,0.003661254,0.573519,0.3825035,0.02697314,0.00210346],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1076375,0.0003495749,0.00001045851,0.0009811156,0.00004131962,0.0003500277,0.0005607543,0.0001664822,0.8899027],"genre_scores_gemma":[0.596871,0.0003993803,0.0001376704,0.00002759506,0.00003976051,0.000005946412,0.00008683306,0.000009500405,0.4024223],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6624415,"threshold_uncertainty_score":0.995899,"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."}}