{"id":"W2916118585","doi":"10.1515/corrrev-2018-0041","title":"Sulfate-reducing bacteria-assisted cracking","year":2019,"lang":"en","type":"article","venue":"Corrosion Reviews","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; University of Calgary","keywords":"Cracking; Sulfate-reducing bacteria; Materials science; Sulfate; Forensic engineering; Biochemical engineering; Metallurgy; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004467985,0.0005832509,0.0004957204,0.0009912518,0.0002126733,0.0005589837,0.0003792833,0.0004936311,0.001304218],"category_scores_gemma":[0.000441992,0.0002417474,0.0006276886,0.0004981504,0.0002568024,0.0005027022,0.0004160033,0.0005266567,0.0005156015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236049,"about_ca_system_score_gemma":0.0003991151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009110373,"about_ca_topic_score_gemma":0.001886165,"domain_scores_codex":[0.9994034,0.00009276136,0.00005003422,0.00008165841,0.0003040687,0.00006813258],"domain_scores_gemma":[0.9996915,0.00007470452,0.00005817433,0.00001591558,0.0001463837,0.00001340377],"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":[0.0001888834,0.0001232691,0.002153227,0.0160074,0.0001972332,0.000643564,0.0002397327,0.001432431,0.7795158,0.002578931,0.00273346,0.1941862],"study_design_scores_gemma":[0.00001251457,0.0007707057,0.005474666,0.000757044,0.0002339508,0.001013787,0.0002458786,0.002903825,0.8937629,0.0005764919,0.09421109,0.00003719175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3512662,0.6027654,0.02372457,0.001062916,0.0008042417,0.0002201317,0.0004747654,0.0002336762,0.01944803],"genre_scores_gemma":[0.6928702,0.282842,0.01033625,0.0002944275,0.0001712258,0.00007480674,0.0003553086,0.00004425142,0.01301151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001304218,"threshold_uncertainty_score":0.004363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204845246059637,"score_gpt":0.2650746704839204,"score_spread":0.243026218023324,"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."}}