{"id":"W2043865744","doi":"10.1108/00035591311315382","title":"Detection of the corrosion degree of beverage cans using a novel electrochemical sensor","year":2013,"lang":"en","type":"article","venue":"Anti-Corrosion Methods and Materials","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrochemical noise; Corrosion; Dielectric spectroscopy; Materials science; Coating; Electrochemistry; Degree (music); Metallurgy; Composite material; Chemistry; Electrode; Acoustics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004275165,0.0006888076,0.0006150921,0.0004210713,0.000192172,0.0003983824,0.0007912698,0.001091248,0.0005888686],"category_scores_gemma":[0.0005466364,0.0003200965,0.0004345332,0.0003197299,0.0002461758,0.0007633276,0.0003471641,0.0004675548,0.0003745657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938507,"about_ca_system_score_gemma":0.0001984119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003071378,"about_ca_topic_score_gemma":0.0006499385,"domain_scores_codex":[0.9994401,0.00006091697,0.00004190265,0.0001662772,0.0002552402,0.00003546843],"domain_scores_gemma":[0.9996562,0.00004516808,0.00008702515,0.00002524679,0.0001602127,0.00002628963],"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":[0.00006772602,0.00003046407,0.00041701,0.0001650935,0.00001787256,0.0000571435,0.00001774862,0.0001143265,0.9947054,0.00007834456,0.00009321355,0.004235582],"study_design_scores_gemma":[0.000009765001,0.0003309564,0.001624103,0.00000687361,0.00004528067,0.0004997566,0.00003090531,0.003543956,0.9916306,0.0000294175,0.002229468,0.00001893845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7598169,0.007992864,0.2242876,0.0007119143,0.0008313952,0.0003072818,0.0006797103,0.0009665506,0.004405769],"genre_scores_gemma":[0.862714,0.002617668,0.1279131,0.0004741339,0.0001386459,0.000160336,0.0004238431,0.00003298299,0.005525343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091248,"threshold_uncertainty_score":0.002260923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476703540186173,"score_gpt":0.3229426640940981,"score_spread":0.2781756286922364,"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."}}