{"id":"W7132578038","doi":"","title":"Benefits and case studies using internal curing of concrete","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Durability; Curing (chemistry); Cement; Mass concrete; Moisture; Compatibility (geochemistry); Aggregate (composite)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001584454,0.0007627596,0.0002976084,0.001290954,0.002764872,0.001534506,0.001020586,0.003124969,0.003272241],"category_scores_gemma":[0.003288308,0.0003427076,0.0007556969,0.001259553,0.001641881,0.001113686,0.001624073,0.001670393,0.0008772229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530826,"about_ca_system_score_gemma":0.0007923817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003289615,"about_ca_topic_score_gemma":0.0122663,"domain_scores_codex":[0.9979624,0.0007942912,0.0001415369,0.0001907004,0.0006259365,0.0002851608],"domain_scores_gemma":[0.9986165,0.0005428476,0.0002435049,0.000105311,0.0002077022,0.0002842502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0007714895,0.004109901,0.06236877,0.003470321,0.0001133942,0.5974453,0.05282292,0.008998933,0.027062,0.02367665,0.01725993,0.2019004],"study_design_scores_gemma":[0.00006200162,0.001853138,0.02859946,0.002263603,0.0001653416,0.5550767,0.04991262,0.002784783,0.02647213,0.00755877,0.3250329,0.0002185444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980575,0.01738682,0.01237624,0.002685717,0.0003071981,0.0005113618,0.0003367055,0.0000876895,0.06825073],"genre_scores_gemma":[0.944903,0.01654006,0.01639163,0.0006260284,0.0001767649,0.0001942409,0.0001852851,0.00006658265,0.02091633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003289615,"threshold_uncertainty_score":0.01110697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06698562972976922,"score_gpt":0.3360737004739144,"score_spread":0.2690880707441452,"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."}}