{"id":"W2055810733","doi":"10.1520/cca10457j","title":"A Practical Method to Solve Slump Loss Problem in PNS Superplasticized High-Performance Concrete","year":2000,"lang":"en","type":"article","venue":"Cement Concrete and Aggregates","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Slump; Structural engineering; Geotechnical engineering; Computer science; Materials science; Forensic engineering; Geology; Composite material; Engineering; Cement","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005752114,0.0003304268,0.0004708592,0.0001586301,0.00009933215,0.000170995,0.0001763008,0.0001187278,0.002663919],"category_scores_gemma":[0.00003344062,0.0003059275,0.00004224099,0.0002878555,0.00007054622,0.0003359069,0.00009422661,0.0002456329,0.0002698853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007229375,"about_ca_system_score_gemma":0.00004615856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245947,"about_ca_topic_score_gemma":0.000008394399,"domain_scores_codex":[0.9978925,0.00008051761,0.000491119,0.0004279888,0.0003397058,0.0007681552],"domain_scores_gemma":[0.9991536,0.0002490087,0.00003074509,0.000253355,0.00005163867,0.0002616415],"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":[0.002070721,0.00001608371,0.003436476,0.001501042,0.0005900574,0.0004776497,0.003388619,0.00336238,0.8251068,0.00277483,0.005358853,0.1519165],"study_design_scores_gemma":[0.009345122,0.001839249,0.001872489,0.001300805,0.0001763894,0.0001221722,0.0005696021,0.1107897,0.7455562,0.0002364094,0.1259049,0.002287002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995131,0.0003590939,0.0009467244,0.0005816719,0.0001014298,0.0007236087,0.00003126789,0.0001616619,0.00196357],"genre_scores_gemma":[0.9810919,0.002111238,0.01567224,0.0002731741,0.000132057,0.0002335219,0.00004432462,0.00005176837,0.0003898168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1496295,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509067999388679,"score_gpt":0.275172374160407,"score_spread":0.2600816941665202,"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."}}