{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006089368,0.0001013602,0.0001036457,0.00005695432,0.00002659829,0.00003591676,0.0001472232,0.00003874392,0.0003071705],"category_scores_gemma":[0.00002288115,0.00007695828,0.00004184169,0.0001451931,0.00007483501,0.0003144387,0.00001243636,0.00008389437,0.00000120149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003948595,"about_ca_system_score_gemma":0.00001068688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005053919,"about_ca_topic_score_gemma":0.000008452406,"domain_scores_codex":[0.9992628,0.000001749197,0.0002270832,0.0001687424,0.0002593565,0.00008032786],"domain_scores_gemma":[0.9997703,0.00001777389,0.00009411803,0.00002908099,0.00006423657,0.00002448732],"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":[0.00007104372,0.000002753793,0.0142078,0.0001144206,0.00007691575,5.10722e-7,0.000577604,0.02773542,0.8517359,0.1049735,0.00002922368,0.000474842],"study_design_scores_gemma":[0.0004883296,0.0001376743,0.1754718,0.0003868301,0.0000855611,0.00002718756,0.0001927644,0.4066174,0.4100783,0.006054242,0.0001345559,0.0003253155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978214,0.00001108885,0.0004289895,0.0002758677,0.0004381404,0.0001226403,0.00003304051,0.00003580133,0.0008330689],"genre_scores_gemma":[0.9983014,0.00002060018,0.001596811,0.000008801873,0.00002226164,0.000007051249,0.00001004499,0.00000839917,0.00002463759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4416576,"threshold_uncertainty_score":0.3363302,"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."}}