{"id":"W4365792201","doi":"10.36401/iddb-22-6","title":"Innovations and Limitations in Areca Nut Research: A Narrative Review","year":2023,"lang":"en","type":"review","venue":"Innovations in Digital Health Diagnostics and Biomarkers","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Areca; Arecoline; International agency; Product (mathematics); Ethnic group; Agency (philosophy); Diversity (politics); Betel; Demographics; Narrative review; Geography; Environmental health; Nut; Toxicology; Psychology; Demography; Carcinogen; Biology; Social science; Sociology; Medicine; Anthropology; Mathematics; Engineering","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":[0.003707001,0.0007967922,0.002068033,0.005705175,0.0004612793,0.002294878,0.001232371,0.001653037,0.005430301],"category_scores_gemma":[0.01473425,0.000403336,0.001873915,0.005642965,0.0007700932,0.002733007,0.001235412,0.001641341,0.0006026432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412441,"about_ca_system_score_gemma":0.006217025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218454,"about_ca_topic_score_gemma":0.005114518,"domain_scores_codex":[0.9983778,0.0004068091,0.0005033171,0.0002115659,0.0004221282,0.00007828781],"domain_scores_gemma":[0.9871847,0.009977073,0.001334379,0.0001623046,0.001174559,0.0001669635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001379936,0.00003903692,0.0005003841,0.471662,0.000716202,0.0003215193,0.0004270691,0.0002344803,0.0004682441,0.0058771,0.02570705,0.493909],"study_design_scores_gemma":[0.00003920932,0.0001088916,0.001772875,0.3753993,0.002947393,0.00189969,0.00048929,0.0001062716,0.0002380221,0.002785294,0.614175,0.00003871352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007882896,0.9989989,0.0000424828,0.0004112994,0.0001601678,0.000008357728,0.00002917222,0.00000231009,0.0002684527],"genre_scores_gemma":[0.001076881,0.9980907,0.0001159156,0.000429875,0.0001537838,0.00001530003,0.00003335955,0.000001304277,0.00008285318],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005705175,"threshold_uncertainty_score":0.01960474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.406664660029272,"score_gpt":0.5105601293791782,"score_spread":0.1038954693499062,"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."}}