{"id":"W2991030032","doi":"10.1007/s10953-019-00933-8","title":"Kinetics and Thermodynamics of Sulfate Adsorption on Magnetite at Elevated Temperatures","year":2019,"lang":"en","type":"article","venue":"Journal of Solution Chemistry","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Adsorption; Chemistry; Magnetite; Sulfate; Ionic strength; Inorganic chemistry; Corrosion; Endothermic process; Langmuir adsorption model; Chloride; Chemical engineering; Metallurgy; Materials science; Aqueous solution; 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":[0.0002433396,0.0002622698,0.0002651982,0.0002377989,0.0002129716,0.0003012703,0.0003991925,0.0002649705,0.002087893],"category_scores_gemma":[0.0004527388,0.0001950641,0.0003006267,0.0001641172,0.0003513735,0.0003186687,0.0001104991,0.0004329706,0.0004570425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453418,"about_ca_system_score_gemma":0.0002563865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004901201,"about_ca_topic_score_gemma":0.004056728,"domain_scores_codex":[0.9998399,0.00001954039,0.000007030207,0.00002419252,0.00005295973,0.00005641046],"domain_scores_gemma":[0.9998233,0.0000834428,0.00002402676,0.00001112423,0.00004579139,0.0000123435],"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":[0.001367339,0.00008529145,0.002825499,0.0001184028,0.00003521559,0.00009512898,0.0001456681,0.005415922,0.9847763,0.000938261,0.0003574156,0.003839545],"study_design_scores_gemma":[0.00001627664,0.000318451,0.0104274,0.000005391773,0.00001562927,0.00006238236,0.00007700681,0.02273012,0.9652466,0.0002332458,0.0008424639,0.00002509844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99767,0.0002648958,0.0008655709,0.00004786662,0.00001018799,0.000006456579,0.0002149636,0.00003164053,0.0008884544],"genre_scores_gemma":[0.9988964,0.0001016788,0.0001565904,0.000005360774,0.000004449688,0.000002961964,0.0001304373,0.00000741726,0.0006948757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004901201,"threshold_uncertainty_score":0.009745359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008227790067135855,"score_gpt":0.2267773338473573,"score_spread":0.2185495437802214,"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."}}