{"id":"W4400235006","doi":"10.11159/iccste24.195","title":"Optimization of CF-GP Blended Electrically Conductive Concrete","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Arab Emirates University","keywords":"Electrical conductor; Electrically conductive; Materials science; Composite material; Computer science; Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530039,0.0005773765,0.0004031847,0.0005792644,0.0001572552,0.0005972528,0.0002285178,0.0003689551,0.0006501247],"category_scores_gemma":[0.0004153669,0.0002258023,0.0004305136,0.0004966607,0.0001707023,0.0003953271,0.0003216766,0.0003966841,0.0002161503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740705,"about_ca_system_score_gemma":0.0002275713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004284825,"about_ca_topic_score_gemma":0.001674807,"domain_scores_codex":[0.9996644,0.00006754694,0.00003263093,0.00006598033,0.0001260407,0.00004328903],"domain_scores_gemma":[0.9998536,0.00003012291,0.00005376492,0.000009276612,0.0000322614,0.00002096402],"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":[0.0001029271,0.00008146447,0.0003245435,0.0001098965,0.000011563,0.00003411873,0.0000119334,0.003776753,0.9910932,0.00008084832,0.0000110827,0.004361619],"study_design_scores_gemma":[0.0000112602,0.0007204617,0.002318316,0.00001825982,0.00004984468,0.00005233965,0.00003396354,0.00672391,0.9888826,0.00005570549,0.001121117,0.0000121511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892769,0.0007211205,0.008341119,0.00002518714,0.00001012417,0.00005179266,0.00009895446,0.00003712421,0.001437649],"genre_scores_gemma":[0.9800174,0.0007468889,0.0180301,0.00001652584,0.000003026122,0.00004927865,0.0001050361,0.00002525842,0.001006484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006501247,"threshold_uncertainty_score":0.002174914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009229365683425502,"score_gpt":0.2074534250760273,"score_spread":0.1982240593926018,"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."}}