{"id":"W4382050933","doi":"10.1016/j.matlet.2023.134830","title":"Greener, smarter, stronger: Self-sensing construction materials from one-part alkali-activated materials","year":2023,"lang":"en","type":"article","venue":"Materials Letters","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Piezoresistive effect; Smart material; Compressive strength; Self-healing; Nanotechnology; Construction engineering; Alkali metal; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"category_scores_codex":[0.0009722708,0.00071877,0.0009905545,0.0002447761,0.0004517988,0.0007652073,0.0004880642,0.0003470804,0.01908633],"category_scores_gemma":[0.00006366391,0.0007658153,0.0001031244,0.0005344139,0.0004671954,0.0009546189,0.0005405455,0.0001178836,0.007607406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374756,"about_ca_system_score_gemma":0.00002087287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005726338,"about_ca_topic_score_gemma":0.00009132676,"domain_scores_codex":[0.9947082,0.0007656732,0.001343575,0.001232507,0.0007878033,0.001162197],"domain_scores_gemma":[0.9979863,0.0001014176,0.0007106447,0.0009488683,0.00002832694,0.0002244608],"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":[0.0002203155,0.00003774658,0.001792681,0.0000442046,0.0001357489,0.00004997553,0.000200986,0.00003222388,0.9895678,0.00003524292,0.007328756,0.0005543915],"study_design_scores_gemma":[0.0009730877,0.00004963249,0.02952281,0.00009532402,0.0001235981,0.00006890023,0.00008513029,0.000004922747,0.96288,0.0003550795,0.005050749,0.0007908342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811516,0.000003597695,0.00006695509,0.001082419,0.01407021,0.0008126836,0.00112548,0.001570673,0.0001164269],"genre_scores_gemma":[0.9905909,0.00004000643,0.004940572,0.0007698644,0.001826107,0.00008265294,0.001521297,0.0001789065,0.00004973794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02773013,"threshold_uncertainty_score":0.9994793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312888552738383,"score_gpt":0.2011331437759535,"score_spread":0.1880042582485697,"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."}}