{"id":"W2773721243","doi":"10.1111/cid.12575","title":"Clinical and radiographic peri‐implant parameters and proinflammatory cytokine levels among cigarette smokers, smokeless tobacco users, and nontobacco users","year":2017,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Facial Trauma and Fracture Management","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; King Saud University","keywords":"Medicine; Peri; Implant; Peri-implantitis; Dentistry; Bleeding on probing; Radiography; Internal medicine; Periodontitis; 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":[0.0003012826,0.0002058978,0.0003449382,0.0006595112,0.0003111259,0.0003762614,0.0001095782,0.0003407045,0.001617929],"category_scores_gemma":[0.0008234321,0.0002016053,0.0002625305,0.0003923042,0.0002601435,0.0002788087,0.000278589,0.0002224208,0.0001900516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434517,"about_ca_system_score_gemma":0.0001619493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165004,"about_ca_topic_score_gemma":0.002117386,"domain_scores_codex":[0.9998265,0.00002738806,0.00002529375,0.00003364567,0.00004676109,0.00004049823],"domain_scores_gemma":[0.9994906,0.0001170505,0.0001756869,0.00002315263,0.00004423557,0.0001492536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005067866,0.000115428,0.996963,0.00001238967,0.0000229212,0.00007959433,0.0001674909,0.000009851612,0.0009470721,0.000006731132,0.00001516922,0.001153619],"study_design_scores_gemma":[0.00001048076,0.0003810692,0.9988655,0.00000237163,0.00001943534,0.0002648912,0.0002807664,0.00004609788,0.00008198313,0.000007620153,0.0000378642,0.000001916807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997725,0.00008874707,0.00001035037,0.000002978461,9.043644e-7,0.000004596194,0.00002758627,4.56266e-7,0.00009187113],"genre_scores_gemma":[0.9997241,0.00004715012,0.0000226695,0.000006732506,0.000002772427,0.000007779529,0.00005613721,3.140246e-7,0.0001324325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001617929,"threshold_uncertainty_score":0.005412519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429916382504331,"score_gpt":0.4320898327257315,"score_spread":0.2890981944752984,"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."}}