{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112333,0.0002048882,0.0002811116,0.0001072191,0.0004198648,0.0004252768,0.0004417532,0.0003351124,0.00007621537],"category_scores_gemma":[0.0005578026,0.0002166947,0.00004462161,0.0001665489,0.0001418004,0.0003335189,0.0001786997,0.0003981338,0.00001329497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286087,"about_ca_system_score_gemma":0.0001116425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001464288,"about_ca_topic_score_gemma":0.000003262306,"domain_scores_codex":[0.9981243,0.00003553177,0.0004047932,0.0005150883,0.0003986934,0.0005215979],"domain_scores_gemma":[0.9987619,0.0002058853,0.0001465552,0.0005315074,0.0001798659,0.0001743003],"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":[0.0001663684,0.00005459725,0.002260244,0.0000775739,0.000001007463,0.000003139862,0.00004858519,0.00001097242,0.9966753,0.00001069056,0.00004026707,0.0006513125],"study_design_scores_gemma":[0.0008531057,0.00002197102,0.006348644,0.0001473498,0.00001088807,0.000009272729,0.00002609884,0.0009824622,0.991019,0.000007736923,0.0003561906,0.0002173138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977637,0.00004476602,0.0006117641,0.0005093958,0.0002920623,0.000586269,0.0001102344,0.00006578495,0.00001602989],"genre_scores_gemma":[0.9986255,0.00004290207,0.00002110369,0.000004065463,0.0006170779,0.0003956122,0.0001420894,0.00003727105,0.0001143939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005656275,"threshold_uncertainty_score":0.8836552,"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."}}