{"id":"W4365149895","doi":"10.1002/cjce.24914","title":"Effect of engineered water and scale inhibitor concentration on the adsorption performance of gypsum inhibitors on multi‐walled carbon nanotubes and crushed sandstone","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adsorption; Gypsum; Carbon nanotube; Chemical engineering; Brine; Magnesium; Chemistry; Endothermic process; Inorganic chemistry; Precipitation; Materials science; Nanotechnology; Organic chemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001550632,0.000436139,0.0002493621,0.0002089996,0.0001412294,0.0002626349,0.000226241,0.0002271672,0.0009637264],"category_scores_gemma":[0.0003516335,0.0001683546,0.0002347367,0.0001925632,0.0001552908,0.0001920263,0.000171657,0.0002905747,0.0001867445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447284,"about_ca_system_score_gemma":0.000152086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002752051,"about_ca_topic_score_gemma":0.004878157,"domain_scores_codex":[0.9998353,0.00001807733,0.00001436614,0.00003469715,0.00005806857,0.00003949206],"domain_scores_gemma":[0.9998295,0.00004413168,0.00004631215,0.00001138324,0.00004518099,0.00002335819],"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":[0.00007776624,0.00002222912,0.00024658,0.00003667498,0.000007621836,0.00001553103,0.00001623558,0.0001965788,0.9984785,0.00001429047,0.00001730108,0.0008707753],"study_design_scores_gemma":[0.000002026273,0.0001456485,0.001527107,0.000002295262,0.000007186939,0.000004827053,0.00001376506,0.0008752989,0.9972301,0.000002656843,0.0001860237,0.000003161963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990004,0.0001458862,0.0002747572,0.000009318488,0.000005465605,0.000009134767,0.0000842213,0.00002151135,0.0004492923],"genre_scores_gemma":[0.9985201,0.0001763524,0.0005213213,0.000009702304,0.000002100841,0.00001110272,0.00008198059,0.000009024434,0.0006683758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002752051,"threshold_uncertainty_score":0.005472064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004294485434619488,"score_gpt":0.1818016434952665,"score_spread":0.177507158060647,"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."}}