{"id":"W2508316509","doi":"10.1002/9781119234463.ch9","title":"Nanoparticles Seeded Geopolymers","year":2016,"lang":"en","type":"other","venue":"Ceramic transactions /Ceramic transactions","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geopolymer; Materials science; Compressive strength; Microstructure; Metakaolin; Chemical engineering; Composite material; Nanoparticle; Seeding; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001097311,0.0007443318,0.0006588871,0.0008277768,0.0002907552,0.0001607455,0.0004412936,0.0006432818,0.07798645],"category_scores_gemma":[0.000001757701,0.0007283262,0.0004189657,0.0004179229,0.0002573165,0.0002314796,0.000003682228,0.0006426004,0.002651763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248012,"about_ca_system_score_gemma":0.0001368017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004528136,"about_ca_topic_score_gemma":0.0009128246,"domain_scores_codex":[0.9972071,0.00007993183,0.0005989627,0.0006350719,0.0004627354,0.001016205],"domain_scores_gemma":[0.9987031,0.00008522184,0.00007397529,0.0007798297,0.00004403914,0.0003138329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001331934,0.0003316399,0.00000387083,0.00144992,0.003669876,0.00006090801,0.0006934651,0.005008184,0.5025097,0.0001554071,0.1152074,0.3707764],"study_design_scores_gemma":[0.002527726,0.00009118765,0.00002975115,0.0005247711,0.0006810987,0.00009166637,0.0002655565,0.002743172,0.07691449,0.0001206771,0.914055,0.001954867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003062344,0.00276919,0.6245318,0.0004293876,0.006040295,0.001677073,0.00281439,0.00679838,0.3518771],"genre_scores_gemma":[0.3660707,0.006300317,0.0002239575,0.00005510583,0.0004253857,0.0003848133,0.0001048931,0.001434488,0.6250004],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7988476,"threshold_uncertainty_score":0.9995168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058356851050574,"score_gpt":0.2365633373584949,"score_spread":0.2259797688479891,"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."}}