{"id":"W128640346","doi":"10.1016/b978-081551487-9.50012-8","title":"Non-Portland Rapid Setting Cements","year":2002,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Portland cement; Materials science; Composite material; Cement","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":[0.0003418798,0.001154629,0.0004080703,0.001489246,0.0004659798,0.001352278,0.0008210619,0.001067343,0.09766971],"category_scores_gemma":[0.0004986048,0.0005263378,0.0004100658,0.001199045,0.0003666726,0.001555391,0.000737818,0.001271797,0.03144193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325317,"about_ca_system_score_gemma":0.0004516285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005514356,"about_ca_topic_score_gemma":0.002671726,"domain_scores_codex":[0.9997023,0.00001588152,0.00001534784,0.00004013872,0.0002133617,0.00001295695],"domain_scores_gemma":[0.9998562,0.00004997304,0.00001525508,0.00002398062,0.00004594925,0.000008567581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005585503,0.00009452266,0.0001546972,0.0006932876,0.000008430346,0.0006131711,0.0001729312,0.000858845,0.0320615,0.0333351,0.05522998,0.8767217],"study_design_scores_gemma":[0.000006382324,0.00004035562,0.0003575045,0.0001909067,0.000009205134,0.002062535,0.00004374674,0.0003888953,0.01288209,0.00506073,0.9789472,0.00001055812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007079307,0.03140812,0.03495728,0.000713213,0.00152067,0.0001116426,0.0005374511,0.001069513,0.9226029],"genre_scores_gemma":[0.009919296,0.00940607,0.01118862,0.0001896681,0.00008322518,0.00004605652,0.0002590953,0.0003035979,0.9686044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09766971,"threshold_uncertainty_score":0.3267378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077742240998121,"score_gpt":0.1962683835218276,"score_spread":0.1854909611118464,"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."}}