{"id":"W2770739080","doi":"10.1038/s41467-017-01610-4","title":"Multi-scale magnetic mapping of serpentinite carbonation","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universitetet i Oslo; University of Washington; Woods Hole Oceanographic Institution; Michigan State University; College of Engineering, Michigan State University; NASA Astrobiology Institute; National Aeronautics and Space Administration; National Science Foundation","keywords":"Carbonation; Geology; Outcrop; Peridotite; Ultramafic rock; Carbon sequestration; Mineralogy; Geophysics; Geochemistry; Materials science; Carbon dioxide; Chemistry; Mantle (geology); Composite material","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":[0.00004408262,0.00007271781,0.00004465066,0.0005110464,0.0001160393,0.0001715807,0.00008286275,0.00009979224,0.001074594],"category_scores_gemma":[0.0001119854,0.00004939089,0.00004902206,0.0002069179,0.0001258964,0.0001207467,0.0001302841,0.0001123837,0.0001408104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364335,"about_ca_system_score_gemma":0.00006619938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00284323,"about_ca_topic_score_gemma":0.009505797,"domain_scores_codex":[0.9999759,0.00000204032,8.447351e-7,0.00001017772,0.000006303577,0.000004679465],"domain_scores_gemma":[0.9999276,0.000007837282,0.00002584384,0.000007515629,0.00001932099,0.00001178542],"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":[0.0001656691,0.00002484866,0.1075656,0.00008847513,0.00003862977,0.0002545717,0.0002555985,0.0009236048,0.859103,0.0002969831,0.0003714036,0.03091167],"study_design_scores_gemma":[0.000007164039,0.00004823914,0.9356356,0.00001273062,0.00002434381,0.0003368873,0.0002578602,0.004727008,0.05485947,0.0001832077,0.003900677,0.000006854541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945187,0.0001163051,0.001565191,0.00002788117,0.000005238573,0.000005156835,0.0003958422,0.00008954504,0.003276134],"genre_scores_gemma":[0.9981472,0.00003870862,0.001196928,0.000007584184,0.000003410046,0.000002102161,0.000148025,0.000006818833,0.0004491737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00284323,"threshold_uncertainty_score":0.005653322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141528906966175,"score_gpt":0.2609829593138998,"score_spread":0.229567670244238,"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."}}