{"id":"W4392190375","doi":"10.36401/iddb-23-5","title":"Betel Nuts, Health Policies, and Adolescent Health","year":2023,"lang":"en","type":"article","venue":"Innovations in Digital Health Diagnostics and Biomarkers","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Adolescent health; Betel; Environmental health; Medicine; Traditional medicine; Nut; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008461835,0.0002446162,0.000440857,0.0006158101,0.0005602206,0.0001036841,0.00009837915,0.000122354,0.000004493676],"category_scores_gemma":[0.0003086751,0.0002393764,0.00002995983,0.001783038,0.0002286605,0.0001932836,0.0001484465,0.0002746061,0.00005718167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003796229,"about_ca_system_score_gemma":0.0007329404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113727,"about_ca_topic_score_gemma":0.0009378863,"domain_scores_codex":[0.9973443,0.00008708461,0.0009857342,0.0004719791,0.0002231871,0.0008876806],"domain_scores_gemma":[0.9985018,0.0004414605,0.0003263552,0.0002691508,0.0000788553,0.0003823662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003550225,0.0003857873,0.6302568,0.0009220821,0.00002808124,0.00005314948,0.0003721573,0.000001858636,3.246633e-7,0.009159326,0.1166361,0.2421489],"study_design_scores_gemma":[0.001061457,0.0004815506,0.974632,0.0004941145,0.00000223382,0.00006953326,0.0005319029,0.00008199018,0.000001254166,0.002346278,0.02011344,0.0001842722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089957,0.009187014,0.00009635695,0.07663331,0.001114928,0.001529298,0.00180186,0.0002591498,0.0003823577],"genre_scores_gemma":[0.9751987,0.0102667,0.0003367776,0.01301109,0.00009627335,0.00007744404,0.0008232607,0.0000316286,0.0001580523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3443752,"threshold_uncertainty_score":0.9761487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302105336448013,"score_gpt":0.3650342937749476,"score_spread":0.3220132404104675,"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."}}