{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001573143,0.00008308383,0.00009196188,0.0007814603,0.0005514257,0.001531096,0.0002418209,0.0007535768,0.004789522],"category_scores_gemma":[0.004063725,0.00007809219,0.0002344633,0.0007875623,0.0008161666,0.0007354218,0.0007504127,0.0009005754,0.0001425136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617871,"about_ca_system_score_gemma":0.002629736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854664,"about_ca_topic_score_gemma":0.02479991,"domain_scores_codex":[0.9990491,0.0004865745,0.00004600187,0.00007984308,0.0001630661,0.0001754183],"domain_scores_gemma":[0.9967691,0.001581174,0.0008681086,0.0000572726,0.000323516,0.0004008357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002218106,0.0009127645,0.6502416,0.001944835,0.0002324872,0.0009552905,0.01185878,0.0007451938,0.001009513,0.0920385,0.01745191,0.2223874],"study_design_scores_gemma":[0.00002317718,0.0002650789,0.8463742,0.004189568,0.0001746616,0.000394125,0.02404275,0.001001125,0.0007925508,0.01530529,0.107399,0.0000384394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267019,0.06870946,0.0006092731,0.1269331,0.0007254896,0.00006341573,0.0007320979,0.00002462327,0.0755006],"genre_scores_gemma":[0.9779819,0.01588864,0.0002907072,0.002981801,0.0001614499,0.00002049718,0.00008291921,0.000003297649,0.002588817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01854664,"threshold_uncertainty_score":0.03687739,"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."}}