{"id":"W3135409480","doi":"10.1039/d1ce00052g","title":"New insights into the role of solution additive anions in Mg<sup>2+</sup> dehydration: implications for mineral carbonation","year":2021,"lang":"en","type":"article","venue":"CrystEngComm","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Agencia Estatal de Investigación; Natural Environment Research Council; Horizon 2020; Engineering and Physical Sciences Research Council; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Agence de l'Environnement et de la Maîtrise de l'Energie; Department for Business, Energy and Industrial Strategy, UK Government","keywords":"Carbonation; Nucleation; Dehydration; Mineral; Chemistry; Ion; Inorganic chemistry; Chemical engineering; Mechanism (biology); Organic chemistry; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009808704,0.00008335854,0.00009444887,0.00003991175,0.0002008117,0.00002364719,0.0001216335,0.00006256934,0.000455366],"category_scores_gemma":[0.0001476487,0.00006943085,0.00006112301,0.0003258953,0.00006409608,0.0002248217,0.00006150746,0.00009896965,0.00002091924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001526274,"about_ca_system_score_gemma":0.00007002195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009203309,"about_ca_topic_score_gemma":0.00960402,"domain_scores_codex":[0.9992432,0.00009341023,0.0002529492,0.0001926529,0.00009804056,0.0001197763],"domain_scores_gemma":[0.9993967,0.000182904,0.00008440571,0.0002281454,0.00006334653,0.0000445155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001104036,0.0009247704,0.03847314,0.00002570481,0.0001029457,0.000004077964,0.06131027,0.08173827,0.3702031,0.2473266,0.03801494,0.1617658],"study_design_scores_gemma":[0.001231909,0.0001975358,0.2685207,0.00004741382,0.0000674841,0.00003356213,0.0083692,0.1812794,0.01110399,0.1119578,0.4167641,0.0004268826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003263,0.0006476846,0.05511218,0.04197016,0.000396782,0.001827399,0.00007575365,0.0001174487,0.09952621],"genre_scores_gemma":[0.9959375,0.00001724968,0.002410729,0.0002086315,0.00007320532,0.0001254497,0.0001729218,0.000005345286,0.001048974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3787492,"threshold_uncertainty_score":0.5359269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262973296680136,"score_gpt":0.2511150488316044,"score_spread":0.238485315864803,"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."}}