{"id":"W2944348602","doi":"10.1007/s00784-019-02916-x","title":"A chitosan-based irrigant improves the dislocation resistance of a mineral trioxide aggregate-resin hybrid root canal sealer","year":2019,"lang":"en","type":"article","venue":"Clinical Oral Investigations","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mineral trioxide aggregate; Sodium hypochlorite; Bond strength; Dentistry; Root canal; Chitosan; Saline; Universal testing machine; Negative control; Smear layer; Materials science; Trioxide; Nuclear chemistry; Chemistry; Adhesive; Medicine; Composite material; Traditional medicine; Ultimate tensile strength; Internal medicine; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004262476,0.000204343,0.0004060641,0.00006743647,0.0001571203,0.00006104187,0.0003481339,0.0001052185,0.00006965257],"category_scores_gemma":[0.0009289106,0.0001390311,0.0002947215,0.0003395362,0.0004846805,0.0001143338,0.00004937514,0.0003199639,0.0001056838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004748935,"about_ca_system_score_gemma":0.0004785573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009580837,"about_ca_topic_score_gemma":0.01063583,"domain_scores_codex":[0.9976858,0.0002878641,0.0009675592,0.0003980395,0.0003785342,0.0002821256],"domain_scores_gemma":[0.99768,0.000753854,0.0005010643,0.0006927777,0.0001413959,0.0002308709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003952968,0.00102876,0.9150817,0.0002052027,0.000563963,0.00008461603,0.000108804,0.0009410527,0.03969184,0.01930102,0.0210461,0.001551589],"study_design_scores_gemma":[0.002913719,0.0002489397,0.9602115,0.0002783249,0.0002956012,0.000006123258,0.00004166489,0.005621534,0.01849644,0.003699678,0.007854273,0.0003322039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936669,0.0002343145,0.0001509365,0.003267075,0.0007100028,0.0005061271,0.0001996483,0.00004026415,0.001224756],"genre_scores_gemma":[0.9918299,0.000006201081,0.001484388,0.0005708715,0.0001449046,0.00004238812,0.0001636537,0.00002787739,0.005729777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04512975,"threshold_uncertainty_score":0.5935043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278513147620905,"score_gpt":0.3408361836986796,"score_spread":0.2880510522224706,"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."}}