{"id":"W4409502012","doi":"10.5006/c2022-17664","title":"Burlington Skyway Electrochemical Chloride Extraction – 30 Years Later","year":2022,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Chloride; Electrochemistry; Computer science; Materials science; Chemistry; Electrode; Chromatography; Metallurgy","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":[0.0009045497,0.0006138436,0.0003539633,0.0007149517,0.001073972,0.001965425,0.0008973351,0.001024702,0.02299814],"category_scores_gemma":[0.000422348,0.0003442946,0.0003896168,0.0009005166,0.0005604092,0.0007027478,0.001165416,0.001029119,0.01058289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005072601,"about_ca_system_score_gemma":0.00602439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1186156,"about_ca_topic_score_gemma":0.2062117,"domain_scores_codex":[0.9988213,0.00005932121,0.00003759027,0.0002577879,0.000664538,0.0001594301],"domain_scores_gemma":[0.9989493,0.00002546185,0.00004050313,0.00008962006,0.0007830765,0.0001120464],"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":[0.001915624,0.001037959,0.009959331,0.0007935887,0.00009762634,0.001910003,0.0009968216,0.002448066,0.2893474,0.01547271,0.2651999,0.4108211],"study_design_scores_gemma":[0.00008368956,0.0005129806,0.007708109,0.00004395912,0.00001727987,0.0003347943,0.0001561666,0.0005865841,0.05081981,0.0002739645,0.9394203,0.00004243799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3421606,0.03277542,0.03769534,0.01630348,0.004018591,0.001357369,0.01128213,0.004401575,0.5500056],"genre_scores_gemma":[0.2235791,0.0072449,0.01656666,0.002128776,0.0002704538,0.0002065776,0.006580729,0.0003641723,0.7430586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1186156,"threshold_uncertainty_score":0.2358503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00518897544148542,"score_gpt":0.2083953706124736,"score_spread":0.2032063951709882,"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."}}