{"id":"W4391852605","doi":"10.2139/ssrn.4727614","title":"A Platform for Continuous Monitoring of the Degradation of Aluminum Beverage Can Lids in Realistic Conditions Through Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Dielectric spectroscopy; Degradation (telecommunications); Electrochemistry; Electrical impedance; Materials science; Aluminium; Spectroscopy; Computer science; Environmental science; Chemical engineering; Metallurgy; Chemistry; Electrical engineering; Physics; Engineering; Telecommunications; Electrode","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":[0.0004369948,0.0007209727,0.000610902,0.0005029351,0.0003366832,0.0007550569,0.001102107,0.001179385,0.002499047],"category_scores_gemma":[0.0005867548,0.0003177011,0.0004131137,0.0003791163,0.0002225617,0.0007395952,0.0009100838,0.0008454923,0.001260462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208089,"about_ca_system_score_gemma":0.0003604655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004767458,"about_ca_topic_score_gemma":0.000755968,"domain_scores_codex":[0.9994504,0.00004451046,0.00002110362,0.0001626498,0.0002753272,0.00004597784],"domain_scores_gemma":[0.9997322,0.00005326542,0.00004727798,0.00005607945,0.00008254859,0.00002849388],"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":[0.0000844787,0.00004655201,0.0002097555,0.00006897475,0.00001136935,0.00004311611,0.00001834286,0.0001638068,0.9912108,0.0001519132,0.0003114816,0.007679501],"study_design_scores_gemma":[0.00001887298,0.000320988,0.001217732,0.000008313482,0.0000316296,0.0001010354,0.0000243914,0.009183907,0.9834735,0.0002109381,0.005390174,0.00001846704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5655543,0.002124938,0.4111946,0.0009967053,0.001109902,0.0007107808,0.004661657,0.006728553,0.006918479],"genre_scores_gemma":[0.8089722,0.001308416,0.172215,0.000510836,0.0001696363,0.0006820344,0.002032903,0.0002142295,0.01389475],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002499047,"threshold_uncertainty_score":0.008360147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711286040133094,"score_gpt":0.3049111828813187,"score_spread":0.2877983224799878,"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."}}