{"id":"W3039624139","doi":"10.1002/maco.202011784","title":"Probabilistic model for pitting of copper canisters","year":2020,"lang":"en","type":"article","venue":"Materials and Corrosion","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Pitting corrosion; Corrosion; Copper; Bentonite; Probabilistic logic; Environmental science; Erosion corrosion of copper water tubes; Saturation (graph theory); Monte Carlo method; Materials science; Metallurgy; Geotechnical engineering; Mathematics; Geology; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008132615,0.00008104569,0.0001722433,0.000008804723,0.00003113511,0.00002162364,0.00004302624,0.00003809248,0.00002899266],"category_scores_gemma":[0.00005027038,0.00007124904,0.00002342215,0.0000259723,0.00002124401,0.000034274,0.00002871086,0.00001991237,0.00000137723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001290539,"about_ca_system_score_gemma":0.000008198383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006225766,"about_ca_topic_score_gemma":0.000002361472,"domain_scores_codex":[0.9995257,0.000008945958,0.000200763,0.0001183589,0.00004901565,0.00009722191],"domain_scores_gemma":[0.9997839,0.00002818072,0.00002638369,0.00007366932,0.00002725003,0.00006066349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000543882,0.000002450583,0.00004645327,0.0004652553,5.758736e-7,1.127759e-7,0.0003973771,0.002363345,0.9956787,0.0002629943,0.0002669278,0.0004614631],"study_design_scores_gemma":[0.0004135371,0.0000876735,0.000164057,0.00005050903,0.00001745089,8.37376e-7,0.00007278912,0.6952274,0.3032714,0.0002408322,0.0003108594,0.0001426228],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830557,0.00004768233,0.01616093,0.00009335551,0.0001713675,0.0002543436,0.00008070657,0.00007846094,0.00005750014],"genre_scores_gemma":[0.9992542,0.00001575481,0.0005344063,0.000112055,0.00002822556,0.00002173723,0.00001022541,0.00001406665,0.000009383569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6928641,"threshold_uncertainty_score":0.2905451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676625673371684,"score_gpt":0.2169347700935142,"score_spread":0.1901685133597974,"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."}}