{"id":"W4206835576","doi":"10.1038/s41598-021-03840-5","title":"Field deployable impedance-based corrosion sensor","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Corrosion; Dielectric spectroscopy; Electrical impedance; Materials science; Test bench; Corrosion monitoring; Equivalent circuit; Computer science; Electrochemistry; Metallurgy; Electrode; Electrical engineering; Engineering; Chemistry; Embedded system; Voltage","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":[0.0003074029,0.0006365369,0.0004430535,0.0003988981,0.0001330102,0.0003586909,0.0009177047,0.0007504652,0.001212558],"category_scores_gemma":[0.0006043507,0.0002390403,0.0001922653,0.0002983968,0.0002426174,0.0008338033,0.0004266758,0.0005061704,0.0006077735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003866593,"about_ca_system_score_gemma":0.0002144986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003796757,"about_ca_topic_score_gemma":0.0004696576,"domain_scores_codex":[0.999541,0.00004437615,0.00002524908,0.0001367807,0.0002188184,0.00003383246],"domain_scores_gemma":[0.9995776,0.00006558903,0.00009207862,0.00005215765,0.0001845827,0.00002794987],"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":[0.00005997852,0.0000436286,0.0005026425,0.0001515871,0.000006508592,0.00007327671,0.00003144369,0.0007551244,0.9830585,0.0003313838,0.0007771356,0.01420873],"study_design_scores_gemma":[0.00003229146,0.0006953829,0.002876433,0.00001716944,0.00002895417,0.0005590057,0.00005426649,0.02284801,0.9611224,0.0002170956,0.01151158,0.00003740389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4407508,0.003117246,0.542479,0.0009684839,0.0006207265,0.0004087294,0.0009375362,0.003451041,0.007266324],"genre_scores_gemma":[0.8632996,0.001021416,0.1280328,0.0004177533,0.0001038595,0.0001351268,0.0003249184,0.00005586332,0.006608724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001212558,"threshold_uncertainty_score":0.004056454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614417797450908,"score_gpt":0.2503333406574479,"score_spread":0.2341891626829389,"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."}}