{"id":"W4379880634","doi":"10.1002/maco.202313771","title":"Experimental factors and their impact on understanding corrosion in anoxic environments","year":2023,"lang":"en","type":"article","venue":"Materials and Corrosion","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Corrosion; Radioactive waste; Spent nuclear fuel; Anoxic waters; Carbon steel; Environmental science; Containment (computer programming); Materials science; Carbon fibers; Waste management; Metallurgy; Chemistry; Engineering; Environmental chemistry; Composite material; Computer science","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":[0.003172111,0.0006584508,0.0003934244,0.0004332951,0.000497796,0.0009455853,0.0007077934,0.0006221976,0.001812291],"category_scores_gemma":[0.006677646,0.0003861374,0.000345792,0.0006044633,0.0009984424,0.0008681332,0.000678852,0.0008460416,0.0004040081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006742917,"about_ca_system_score_gemma":0.0005083159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727613,"about_ca_topic_score_gemma":0.003210149,"domain_scores_codex":[0.9963367,0.001401516,0.0005002964,0.000490892,0.001031377,0.000239159],"domain_scores_gemma":[0.9916379,0.00491011,0.001100818,0.0008616997,0.001320047,0.000169441],"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":[0.001149958,0.00047769,0.006092228,0.0004782536,0.00004959635,0.0001220291,0.0002219685,0.001063408,0.9806743,0.0008997001,0.0002395786,0.008531294],"study_design_scores_gemma":[0.00003189093,0.001352585,0.02216562,0.00007545888,0.00009334133,0.0001522418,0.0002867612,0.003612521,0.9659056,0.0009907222,0.005287125,0.00004607943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500258,0.006596699,0.03338046,0.0005299757,0.0002155735,0.0006143664,0.001107201,0.0001676918,0.007362301],"genre_scores_gemma":[0.9635899,0.003903687,0.02841694,0.0002823674,0.00006268189,0.0006047876,0.001324347,0.0001793707,0.001635881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003172111,"threshold_uncertainty_score":0.01677597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04459114413601728,"score_gpt":0.2785609537061973,"score_spread":0.23396980957018,"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."}}