{"id":"W2522876796","doi":"10.4028/www.scientific.net/kem.711.607","title":"Achieving Concrete Durability in Chloride Exposures","year":2016,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Durability; Service life; Concrete cover; Curing (chemistry); Chloride; Corrosion; Structural engineering; Materials science; Forensic engineering; Computer science; Engineering; Composite material; Metallurgy","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":[0.0008508611,0.0007021503,0.0005844451,0.0003510758,0.0004125141,0.001235078,0.0009581571,0.0009707919,0.002607163],"category_scores_gemma":[0.001755209,0.0004101436,0.0005270173,0.0002533752,0.0004517755,0.001476732,0.002119757,0.0009747131,0.001711294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008347728,"about_ca_system_score_gemma":0.000893848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718717,"about_ca_topic_score_gemma":0.002691608,"domain_scores_codex":[0.9989857,0.00005731769,0.00005376371,0.0001747342,0.0005221258,0.0002064276],"domain_scores_gemma":[0.9990786,0.0001156105,0.0002024561,0.0001699691,0.0003084406,0.0001248725],"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":[0.0001387767,0.0001182161,0.004923015,0.0003084565,0.00002233003,0.0005945727,0.0003695749,0.0875054,0.8614911,0.005563421,0.0008650979,0.03810013],"study_design_scores_gemma":[0.00002118276,0.001547368,0.01008856,0.0001000791,0.0000547956,0.0008157984,0.0003740783,0.1242547,0.8417148,0.007193322,0.01375565,0.00007968662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6846321,0.0009344135,0.2849237,0.0003657576,0.00009069277,0.0001098023,0.000404237,0.001815602,0.02672368],"genre_scores_gemma":[0.9787568,0.0003605752,0.01377237,0.00008672849,0.0000123087,0.00003134344,0.0002127349,0.0001683622,0.0065988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002607163,"threshold_uncertainty_score":0.008721828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006441098738612657,"score_gpt":0.1779880546287773,"score_spread":0.1715469558901647,"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."}}