{"id":"W1484846072","doi":"10.1520/cca10483j","title":"Chemical Admixtures for Concrete","year":2001,"lang":"en","type":"article","venue":"Cement Concrete and Aggregates","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Forensic engineering; Architectural engineering; Engineering","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":[0.0003687643,0.0004254784,0.0002537789,0.0005021002,0.0006131626,0.0005232368,0.0005111519,0.0005821718,0.007416172],"category_scores_gemma":[0.0004496379,0.0002691069,0.0002873106,0.0002567539,0.0004095348,0.0008398012,0.0009181218,0.0008741786,0.001264354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007034047,"about_ca_system_score_gemma":0.0003741976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975996,"about_ca_topic_score_gemma":0.002079727,"domain_scores_codex":[0.999819,0.00003534348,0.000008280228,0.0000315963,0.00007440503,0.00003153934],"domain_scores_gemma":[0.9998955,0.00002559528,0.00002107081,0.00001961683,0.0000240588,0.00001416056],"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":[0.0008446533,0.000342706,0.0007509759,0.0008597951,0.00004491534,0.0004678644,0.0001414065,0.009292472,0.8092037,0.08264218,0.003698999,0.09171022],"study_design_scores_gemma":[0.00003449788,0.0003884396,0.0006412506,0.00003093505,0.00003321608,0.0002037687,0.00004014212,0.00372619,0.9355978,0.002911639,0.05637711,0.00001506654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7300629,0.03681251,0.06641812,0.002211644,0.00118866,0.0003399112,0.0003890405,0.00068173,0.1618956],"genre_scores_gemma":[0.9173961,0.01138752,0.01379938,0.0001988906,0.0001732276,0.00006083536,0.0001478462,0.00006232288,0.05677395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007416172,"threshold_uncertainty_score":0.02480954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196675590725111,"score_gpt":0.2242640773595112,"score_spread":0.2122973214522601,"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."}}