{"id":"W81729483","doi":"10.5006/c2001-01310","title":"Cathodic Protection in Cold Climate Water Division","year":2001,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cathodic protection; Division (mathematics); Materials science; Environmental science; Metallurgy; Anode; Electrode; Chemistry","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":[0.0002817852,0.0001920586,0.000133971,0.0007022544,0.001207675,0.0007822004,0.0005144966,0.0003848237,0.01018463],"category_scores_gemma":[0.000362074,0.0001115445,0.0001245424,0.0006624275,0.0004688263,0.0004236432,0.0006537093,0.0002584028,0.0009672379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635252,"about_ca_system_score_gemma":0.001125013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04432521,"about_ca_topic_score_gemma":0.09303122,"domain_scores_codex":[0.9997794,0.00003304584,0.000008432632,0.00003339484,0.00008380502,0.00006186854],"domain_scores_gemma":[0.9996711,0.00004267077,0.00004713634,0.00002383561,0.0001680935,0.000047062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001321234,0.0002147282,0.05891101,0.001382633,0.00007049948,0.002134095,0.003265026,0.004713386,0.5403075,0.00895761,0.02410444,0.3546179],"study_design_scores_gemma":[0.00007517017,0.0008191687,0.1274151,0.0001728064,0.00009324599,0.001513857,0.003932051,0.004732554,0.4996471,0.002224971,0.3593103,0.00006353223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760045,0.007147479,0.009076066,0.001475947,0.0002371696,0.0001631791,0.0004265822,0.0002741512,0.1051949],"genre_scores_gemma":[0.9621613,0.001271824,0.001701787,0.0001648657,0.00002388093,0.00002356731,0.0001162305,0.00002293921,0.03451371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04432521,"threshold_uncertainty_score":0.08813441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053526135741542,"score_gpt":0.2093605502865448,"score_spread":0.1988252889291293,"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."}}