{"id":"W2050508077","doi":"10.1016/j.cemconres.2006.01.012","title":"Alteration of alkali reactive aggregates autoclaved in different alkali solutions and application to alkali-aggregate reaction in concrete (II) expansion and microstructure of concrete microbar","year":2006,"lang":"en","type":"article","venue":"Cement and Concrete Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"National Research Council Canada","keywords":"Alkali–silica reaction; Alkali metal; Alkali–aggregate reaction; Reactivity (psychology); Lithium (medication); Aggregate (composite); Lithium carbonate; Microstructure; Materials science; Chemistry; Inorganic chemistry; Dolomite; Chemical engineering; Mineralogy; Composite material; Organic chemistry; Ionic bonding; Ion","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"],"consensus_categories":[],"category_scores_codex":[0.00100845,0.0002746543,0.0005055348,0.0006385434,0.0001658474,0.00007706586,0.0001347197,0.0001879375,0.00002349369],"category_scores_gemma":[0.00004226227,0.0002666137,0.0000373626,0.0004607198,0.0002927113,0.0002465132,0.0002566082,0.0003193677,0.000001591012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801627,"about_ca_system_score_gemma":0.00004941216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185599,"about_ca_topic_score_gemma":0.0002420926,"domain_scores_codex":[0.997539,0.0002574988,0.0006699775,0.0004970751,0.0004461105,0.0005902826],"domain_scores_gemma":[0.9990593,0.0001961402,0.00010999,0.0002899666,0.0002113203,0.0001332877],"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":[0.0002629278,0.000002235141,0.001465215,0.0002732696,0.00003053698,0.000003623687,0.0008967465,0.00003892511,0.9929981,0.0006601578,0.00009988045,0.003268348],"study_design_scores_gemma":[0.002913221,0.0005686318,0.02032847,0.0005770212,0.00002901587,0.00001357041,0.00099736,0.02199221,0.9502042,0.0005390104,0.001411192,0.0004260748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954123,0.00232208,0.0001549517,0.0003137406,0.00005150581,0.001433242,0.00007974362,0.00003015408,0.0002022217],"genre_scores_gemma":[0.9971893,0.002126405,0.0001279856,0.00001278593,0.00005743291,0.0002080382,0.0001812341,0.00003151552,0.0000652781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04279392,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880299209782053,"score_gpt":0.2759435779778327,"score_spread":0.2571405858800122,"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."}}