{"id":"W1597502107","doi":"10.1111/cid.12235","title":"The Interaction of Implant Luting Cements and Oral Bacteria Linked to Peri‐Implant Disease: An In Vitro Analysis of Planktonic and Biofilm Growth – A Preliminary Study","year":2014,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Washington","keywords":"Biofilm; Cement; Fusobacterium nucleatum; Bacteria; Eugenol; Bacterial growth; Dental cement; Porphyromonas gingivalis; Aggregatibacter actinomycetemcomitans; Colony-forming unit; Microbiology; Glass ionomer cement; Implant; Dentistry; Peri-implantitis; Zinc oxide eugenol; Chemistry; Materials science; Biology; Medicine; Composite material; Surgery","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":[0.001035655,0.0008316815,0.0005091031,0.0004237389,0.0004147135,0.0004551699,0.0003278092,0.000624525,0.0009598621],"category_scores_gemma":[0.0005195019,0.0003157495,0.0007626288,0.0004097277,0.0004720638,0.000424571,0.0004342584,0.0005806665,0.0002911485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002438566,"about_ca_system_score_gemma":0.0003928735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666689,"about_ca_topic_score_gemma":0.002629939,"domain_scores_codex":[0.9992455,0.0002226168,0.00009459149,0.0001000309,0.0001934623,0.0001438749],"domain_scores_gemma":[0.9992292,0.0004381942,0.00009223898,0.00004978744,0.0001291233,0.00006152596],"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":[0.0006819073,0.001046299,0.004151845,0.0002626413,0.00002819363,0.00009870168,0.0001922439,0.0001036237,0.9910691,0.00002966554,0.00002629219,0.002309459],"study_design_scores_gemma":[0.0001145543,0.03217664,0.119911,0.00006623074,0.0003554645,0.0008513281,0.0006816979,0.001635956,0.8422927,0.00008945411,0.001784883,0.00004025258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973866,0.001444321,0.0005722144,0.00003081172,0.00001557867,0.00006324339,0.00008722927,0.000003585754,0.000396464],"genre_scores_gemma":[0.9913897,0.002012795,0.004853197,0.00007669666,0.00004568695,0.0001074669,0.0003996039,0.000006303082,0.001108569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001666689,"threshold_uncertainty_score":0.00547719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09024741955016691,"score_gpt":0.4574676959850658,"score_spread":0.3672202764348989,"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."}}