{"id":"W4309839061","doi":"10.1149/ma2022-0211714mtgabs","title":"An Advanced Model for Long-Term Localized Corrosion of Copper","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Copper; Corrosion; Electrochemistry; Inorganic chemistry; Oxide; Chemistry; Chloride; Metal; Hydroxide; Materials science; Metallurgy; Electrode; Physical chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006694174,0.0001191774,0.0001890263,0.00005802949,0.0003268497,0.00003073572,0.000200931,0.00004288914,0.0002153953],"category_scores_gemma":[0.00007550316,0.0001224162,0.00007075626,0.00007679748,0.00004040849,0.0001987234,0.0000799362,0.00009855453,0.000009869686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006480103,"about_ca_system_score_gemma":0.00005872661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572728,"about_ca_topic_score_gemma":0.000006335854,"domain_scores_codex":[0.9986472,0.00005547555,0.0004039503,0.0003067054,0.0003416023,0.0002450339],"domain_scores_gemma":[0.9991962,0.00007302738,0.0002742514,0.0002664997,0.0001036153,0.00008642043],"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":[0.0001689432,0.0001581815,0.0004758024,0.00002339427,1.036112e-7,0.000001644208,0.0002404363,0.2666518,0.731886,0.000003210043,0.0001884913,0.0002020434],"study_design_scores_gemma":[0.000817541,0.0002625797,0.001115638,0.00005758542,0.00001695439,0.000006194247,0.0001403233,0.03681445,0.9604782,0.0000784582,0.00005322332,0.0001588814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965839,0.00003227881,0.001731696,0.00003308702,0.0004946329,0.0003426757,0.0001160144,0.0000894512,0.0005762765],"genre_scores_gemma":[0.9966965,0.000002590628,0.002804936,0.00006942966,0.00003272188,0.0001026004,0.00009199097,0.00002492802,0.0001742997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2298373,"threshold_uncertainty_score":0.4991988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854412312665972,"score_gpt":0.2984117381891434,"score_spread":0.2698676150624837,"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."}}