{"id":"W2081962463","doi":"10.5770/cgj.18.123","title":"Prevalence and Distribution of Oral Mucosal Lesions in a Geriatric Indian Population","year":2015,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Leukoplakia; Oral submucous fibrosis; Pyogenic granuloma; Population; Areca; Dermatology; Dentistry; Oral health; Stomatitis; Oral cavity; Buccal mucosa; Oral mucosa; Betel; Surgery; Internal medicine; Pathology; Lesion; Cancer; Environmental health","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":[0.0002271488,0.0002059135,0.0002221529,0.001313095,0.0004411623,0.0004640659,0.0002167045,0.0003114337,0.001052364],"category_scores_gemma":[0.0006071679,0.0001957898,0.000195794,0.0008485873,0.000362376,0.0002701341,0.000366375,0.0002496635,0.0001974802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159642,"about_ca_system_score_gemma":0.0002508677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005632687,"about_ca_topic_score_gemma":0.005027603,"domain_scores_codex":[0.9997855,0.00002965851,0.00002733766,0.00003543314,0.00006970679,0.00005243346],"domain_scores_gemma":[0.9996436,0.00003594123,0.0001572091,0.000015912,0.0000573164,0.00009011461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003656504,0.00003447974,0.996937,0.00001406396,0.00001292035,0.000337173,0.0002682274,0.00001621567,0.0005230035,0.00000874283,0.00006515079,0.001746484],"study_design_scores_gemma":[0.000001679885,0.0001052899,0.9979379,0.000006287168,0.00001044348,0.001057095,0.0007172236,0.00002997106,0.00003762765,0.000008521868,0.0000851629,0.000002809774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994888,0.0001371594,0.00001573653,0.0000206714,0.000001814584,0.000005330216,0.00006344695,0.00000273824,0.0002642663],"genre_scores_gemma":[0.9996636,0.000162176,0.00003258209,0.00001448246,0.000004763423,0.000003697649,0.00005947148,4.652605e-7,0.00005890128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005632687,"threshold_uncertainty_score":0.01119983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03341394278995519,"score_gpt":0.3063967972387835,"score_spread":0.2729828544488284,"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."}}