{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065439,0.000165371,0.0001919197,0.0000604386,0.00009332324,0.00008302506,0.0000877351,0.00008673574,0.0002418645],"category_scores_gemma":[0.00003164107,0.0001576242,0.00004341116,0.0001047036,0.00008599227,0.0001183258,0.00002441193,0.00006120696,0.00001271414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001807721,"about_ca_system_score_gemma":0.00001196963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002903675,"about_ca_topic_score_gemma":1.566997e-7,"domain_scores_codex":[0.9992302,0.000008792211,0.0002569923,0.0001756471,0.00007983672,0.0002485254],"domain_scores_gemma":[0.9996163,0.00007265351,0.00003924441,0.0001378363,0.0000749337,0.00005902288],"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":[0.00009318423,5.132041e-7,0.0006087499,0.0001738235,0.0002126881,0.000009508103,0.0001746915,0.00001904487,0.9117397,0.02229191,0.009133117,0.05554305],"study_design_scores_gemma":[0.001462053,0.00007602464,0.00002580486,0.00009154934,0.00006529258,0.00007094167,0.0001935675,0.004570419,0.5344157,0.001612971,0.4568805,0.0005351165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916348,0.001988075,0.001497196,0.0002076278,0.0006019318,0.0003069403,0.00004111442,0.0002774626,0.003444798],"genre_scores_gemma":[0.9953827,0.0008838839,0.002501682,0.0003517414,0.0004011526,0.0001135804,0.00007490486,0.00002800504,0.0002623411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4477474,"threshold_uncertainty_score":0.6427729,"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."}}