{"id":"W4408654875","doi":"10.5006/mp2020_59_10-30","title":"Burlington Skyway Electrochemical Chloride Extraction—30 Years Later","year":2020,"lang":"en","type":"article","venue":"Materials performance","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Electrochemistry; Chloride; Metallurgy; Materials science; Engineering; Forensic engineering; Environmental science; Chemistry; Chromatography; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009342271,0.0005226805,0.0003291348,0.000572548,0.00152494,0.001706675,0.0008809516,0.0009076466,0.01348504],"category_scores_gemma":[0.0004140704,0.0003150745,0.0003722438,0.0006899097,0.0005890132,0.0005928012,0.001139847,0.0009387728,0.005684533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008988283,"about_ca_system_score_gemma":0.01136199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4003256,"about_ca_topic_score_gemma":0.6078213,"domain_scores_codex":[0.9988461,0.00003862929,0.00002538735,0.0001893484,0.0006962725,0.0002042235],"domain_scores_gemma":[0.9991263,0.00001384682,0.0000211735,0.00005191956,0.000673404,0.0001133314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001766881,0.0009158031,0.01290152,0.0006124345,0.00009101754,0.001641187,0.001090685,0.002357848,0.2214177,0.01852356,0.352557,0.3861243],"study_design_scores_gemma":[0.00005830844,0.0003485967,0.01025811,0.00004068622,0.00001672559,0.0002488829,0.0001944125,0.0005508011,0.04589448,0.0002844787,0.9420605,0.0000440354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3498985,0.02285448,0.02415635,0.01774614,0.004236504,0.001207405,0.009779977,0.002608719,0.5675119],"genre_scores_gemma":[0.2632877,0.00652791,0.01099495,0.002213292,0.000197852,0.0001674932,0.005550147,0.0002297419,0.7108309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4003256,"threshold_uncertainty_score":0.7959909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007914351684090958,"score_gpt":0.2044615201130057,"score_spread":0.1965471684289147,"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."}}