{"id":"W2757386873","doi":"10.1021/acs.energyfuels.7b01767","title":"Influence of Terpolymer Based on Amide, Carboxylic, and Sulfonic Groups on the Barium Sulfate Inhibition","year":2017,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Total; Maersk Group; Statoil; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Clariant; Shell; CMG Reservoir Simulation Foundation; Chevron; Petrobras; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; BG Group; BP Global; ConocoPhillips; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Baker Hughes","keywords":"Chemistry; Barium sulfate; Sulfonic acid; Amide; Polymer; Barium; Sulfate; Carboxylate; Maleic anhydride; Carboxylic acid; Nuclear chemistry; Polymer chemistry; Copolymer; Inorganic chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774725,0.0005185493,0.0001845391,0.0001968484,0.00009371604,0.0002444921,0.0001180604,0.0001588578,0.0007326391],"category_scores_gemma":[0.0004033564,0.0001583744,0.0001541939,0.0001808444,0.0001528912,0.000239827,0.0001165162,0.0002919206,0.0001653096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141208,"about_ca_system_score_gemma":0.0002289806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005439628,"about_ca_topic_score_gemma":0.001143435,"domain_scores_codex":[0.9998554,0.00002730242,0.00001507369,0.00002830784,0.00003632809,0.00003762269],"domain_scores_gemma":[0.9997744,0.00006808433,0.00008527334,0.00001066532,0.00002781167,0.00003388945],"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":[0.00008598375,0.00002426419,0.0001499014,0.00005441868,0.000006334414,0.00002037805,0.00001240786,0.0001043495,0.9979705,0.00003829815,0.00001392299,0.001519275],"study_design_scores_gemma":[0.000003574576,0.0002119119,0.0007917377,0.000005306685,0.00001398045,0.00001608108,0.000007766851,0.0002893643,0.9981443,0.000004601878,0.0005090435,0.000002507202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963915,0.001198528,0.0007737324,0.00002395338,0.00002272407,0.00001489997,0.00006377183,0.00002219762,0.001488806],"genre_scores_gemma":[0.9968869,0.001089432,0.001110983,0.0000164627,0.000007506364,0.00001405368,0.00006606208,0.00001325183,0.0007953117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007326391,"threshold_uncertainty_score":0.002450883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198169253784155,"score_gpt":0.2246535798193332,"score_spread":0.2126718872814916,"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."}}