{"id":"W4293061153","doi":"10.1002/suco.202100694","title":"Investigation on optimal lightweight expanded clay aggregate concrete at high temperature based on deep neural network","year":2022,"lang":"en","type":"article","venue":"Structural Concrete","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Silica fume; Cement; Materials science; Aggregate (composite); Ultimate tensile strength; Compressive strength; Composite material; Volume (thermodynamics); Properties of concrete; Geotechnical engineering; Geology","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":[0.0004357392,0.0006999132,0.0005304443,0.0003230562,0.000201254,0.0004611764,0.0005837267,0.000635992,0.0006499772],"category_scores_gemma":[0.0006414873,0.0003079027,0.0004332408,0.0001779848,0.0002660755,0.0005607233,0.0002690815,0.0004095889,0.0001167972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005012961,"about_ca_system_score_gemma":0.00063824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007568321,"about_ca_topic_score_gemma":0.008546617,"domain_scores_codex":[0.9998553,0.00002375738,0.000006906373,0.00004132702,0.00003300223,0.00003963918],"domain_scores_gemma":[0.999803,0.00007134544,0.00002928243,0.000009344867,0.00006597417,0.00002099651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003000698,0.0002669836,0.004282698,0.0001101161,0.00008806746,0.0001161225,0.00004967201,0.8760666,0.0329788,0.000550325,0.0003310626,0.08485934],"study_design_scores_gemma":[0.000004080421,0.00005667835,0.0006308746,0.00000278234,0.00001118188,0.00000449998,0.000006961316,0.9970813,0.002097575,0.0000632811,0.00003743054,0.000003307774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168959,0.0008679864,0.2782266,0.0002003307,0.00005733809,0.00006995632,0.0000617661,0.0006147078,0.003005441],"genre_scores_gemma":[0.9873202,0.00012276,0.01177384,0.00001765844,0.000006278928,0.00002405483,0.00003857951,0.000008793788,0.000687932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007568321,"threshold_uncertainty_score":0.01504856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008047376826404525,"score_gpt":0.1941961953803641,"score_spread":0.1861488185539596,"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."}}