{"id":"W2892515968","doi":"10.1016/j.corsci.2018.09.008","title":"A spectromicroscopy study of the corrosion of polymer coated steel","year":2018,"lang":"en","type":"article","venue":"Corrosion Science","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Western Economic Diversification Canada; Consiglio Nazionale delle Ricerche; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Mosaic Company; University of Saskatchewan","keywords":"XANES; Corrosion; Materials science; Opacity; Polymer; Absorption (acoustics); Metal; Enhanced Data Rates for GSM Evolution; Spectroscopy; Metallurgy; Composite material; Analytical Chemistry (journal); Optics; 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":[0.0003768082,0.0001313653,0.0002486134,0.0001258951,0.0004221311,0.00003845161,0.0008623872,0.00002105214,0.0003802444],"category_scores_gemma":[0.00001813387,0.00008521214,0.00009872088,0.001830581,0.001177991,0.0001974996,0.0002781547,0.000111606,0.00002605133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292648,"about_ca_system_score_gemma":0.0001738084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003677329,"about_ca_topic_score_gemma":0.000026323,"domain_scores_codex":[0.9983895,0.00005047023,0.00035027,0.0003664335,0.0005638559,0.0002794272],"domain_scores_gemma":[0.9985888,0.00003166029,0.0003212815,0.0006972641,0.0002915414,0.00006945419],"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":[0.00002948151,0.0003331626,0.1733935,0.00000149056,0.000001884649,7.569707e-8,0.0008603538,0.000002946338,0.8243826,0.0007342383,0.00008338984,0.000176879],"study_design_scores_gemma":[0.0003713322,0.0004121435,0.03872079,0.00003646288,0.00003991976,2.286196e-7,0.002117884,0.0006949863,0.9573956,0.0001067062,0.0000134849,0.00009049496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957379,0.00001891459,0.002129477,0.00002765851,0.0003502164,0.0002463137,0.00001093498,0.000009542379,0.001469052],"genre_scores_gemma":[0.9994368,0.000001379217,0.00007122717,0.00002439274,0.00006871281,0.000005085389,9.108572e-7,0.000006799215,0.0003846789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346727,"threshold_uncertainty_score":0.4340356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189536341881345,"score_gpt":0.286232153156017,"score_spread":0.2743367897372035,"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."}}