{"id":"W3120364171","doi":"10.17515/resm2020.226st0921","title":"Prediction of chloride ingress for palm kernel shell concrete","year":2021,"lang":"en","type":"article","venue":"Research on Engineering Structures and Materials","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Palm kernel; Palm; Shell (structure); Kernel (algebra); Chloride; Environmental science; Computer science; Materials science; Composite material; Metallurgy; Mathematics; Physics; Palm oil; Agroforestry; Combinatorics","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":[0.0002223839,0.0005535619,0.000242207,0.0003665057,0.0001485942,0.0004340709,0.0003587699,0.0008608896,0.0003180041],"category_scores_gemma":[0.0005251156,0.000291589,0.0004672307,0.0001326571,0.0001629165,0.0002768985,0.0001860781,0.0003433406,0.0001549479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006962807,"about_ca_system_score_gemma":0.000445983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312682,"about_ca_topic_score_gemma":0.0175429,"domain_scores_codex":[0.9999001,0.00001350077,0.000006309583,0.00003593839,0.00002388107,0.00002029097],"domain_scores_gemma":[0.9997182,0.0001105424,0.00006977613,0.00001334348,0.00005817939,0.00002991148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001228989,0.0001099402,0.02398032,0.00003324433,0.00001914929,0.000168306,0.00002874492,0.9433454,0.02726555,0.0000943968,0.00009238755,0.004739678],"study_design_scores_gemma":[0.0000037429,0.0001202602,0.00716077,0.00000186162,0.000007045063,0.00001339827,0.00001925467,0.9848577,0.007729609,0.00003396537,0.0000450317,0.000007267028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940001,0.0000398227,0.005322046,0.00002139343,0.000004184229,0.00001122595,0.00008472854,0.00009218324,0.0004244851],"genre_scores_gemma":[0.9990013,0.00002237744,0.000677401,0.000001357874,5.190856e-7,0.000003286766,0.00004794147,0.000003634034,0.0002421747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02312682,"threshold_uncertainty_score":0.04598439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04375649447035963,"score_gpt":0.2812895487508318,"score_spread":0.2375330542804722,"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."}}