{"id":"W2391408096","doi":"","title":"The Performance and Mixture Ratio Design of Lean Concrete Base","year":2002,"lang":"en","type":"article","venue":"Shanxi Science & Technology of Communications","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Base (topology); Mathematics","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":[0.0005443367,0.0006462098,0.0005020861,0.000753262,0.0003406665,0.000598673,0.0006596508,0.0004361366,0.002016295],"category_scores_gemma":[0.0007710944,0.0003268512,0.0003748128,0.0004297083,0.00024954,0.0005396841,0.0004887799,0.0002704913,0.0004304424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528718,"about_ca_system_score_gemma":0.0003734131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027782,"about_ca_topic_score_gemma":0.001422848,"domain_scores_codex":[0.9995126,0.00007518677,0.00001500751,0.00006183139,0.0002720659,0.00006334798],"domain_scores_gemma":[0.9997297,0.0000755707,0.00004719016,0.00002013581,0.00009471108,0.00003270241],"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":[0.001576859,0.0001549912,0.004561047,0.0001935713,0.00005400177,0.0001385162,0.0001256305,0.5291519,0.3620673,0.006679728,0.0005238235,0.09477274],"study_design_scores_gemma":[0.00005049672,0.0009017329,0.003025394,0.00001146457,0.00007932212,0.0001164175,0.00007831623,0.773187,0.2193,0.001516729,0.001691883,0.00004115421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724233,0.000397608,0.2129467,0.0000799302,0.00002770738,0.0000483336,0.00008357382,0.0005675962,0.01342526],"genre_scores_gemma":[0.9854442,0.00008679379,0.01308626,0.000005227904,0.000003572851,0.0000107112,0.00004383947,0.00003303621,0.001286314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002027782,"threshold_uncertainty_score":0.006745219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177944625808516,"score_gpt":0.2299807833065513,"score_spread":0.2082013370484662,"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."}}