{"id":"W2608470995","doi":"10.1021/acs.iecr.7b00714","title":"Ceria/Acrylic Polymer Microgel Composite: Synthesis, Characterization, and Anticorrosion Application for API 5L X70 Substrate in Chloride-Enriched Medium","year":2017,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canada Research Chairs","keywords":"Materials science; Acrylic acid; Composite number; Corrosion; Adsorption; Chemical engineering; Dissolution; Polymer; Polymerization; Anode; Cathodic protection; Metal; Electrochemistry; Substrate (aquarium); Composite material; Polymer chemistry; Metallurgy; Electrode; Copolymer; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001257859,0.0003908961,0.0002417428,0.0002567848,0.0001141213,0.0001973462,0.0001510248,0.0002948686,0.0005323034],"category_scores_gemma":[0.0001227719,0.0001614669,0.0001895209,0.0001363544,0.0001522302,0.0001637291,0.0001066541,0.0002065426,0.000210618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478967,"about_ca_system_score_gemma":0.000146249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003657544,"about_ca_topic_score_gemma":0.001049927,"domain_scores_codex":[0.9998928,0.000007293619,0.000005847195,0.00002679392,0.00004402845,0.00002326607],"domain_scores_gemma":[0.9998558,0.00001642842,0.00005541615,0.000009494402,0.00003534114,0.000027482],"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":[0.000007349113,0.000002697926,0.00002231488,0.000009828246,9.165726e-7,0.00001541472,0.00000244936,0.00001922168,0.9995629,0.000003530022,0.000002582092,0.0003508024],"study_design_scores_gemma":[0.000002026445,0.000107655,0.001003318,0.000001179185,0.000006263913,0.00006442182,0.000005731012,0.0002361643,0.9982571,0.000001862485,0.0003118933,0.000002391364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905666,0.0008241234,0.007543364,0.00003367594,0.00001416278,0.00002888246,0.00007590135,0.000128699,0.0007846138],"genre_scores_gemma":[0.9904439,0.0004353433,0.007547261,0.00002124165,0.000006448767,0.00001814124,0.0001043608,0.0000284758,0.001394742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005323034,"threshold_uncertainty_score":0.001780689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606854242900722,"score_gpt":0.3268667833680953,"score_spread":0.2661813590780231,"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."}}