{"id":"W4412746171","doi":"10.2196/71703","title":"Online Illicit Drug Distribution in the Thai Language on X: Exploratory Qualitative Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Advertising; Content analysis; Illicit drug; Exploratory research; Qualitative analysis; Qualitative research; Psychology; Drug; Computer science; Business; Sociology; World Wide Web; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001694555,0.0001236221,0.0004128481,0.0001420051,0.00005046426,0.000006867338,0.0001390477,0.0001016052,0.00002791296],"category_scores_gemma":[0.0008007971,0.00008068774,0.0001501777,0.0006284128,0.0001393647,0.00004160318,0.00004997061,0.0005388951,0.00001627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191766,"about_ca_system_score_gemma":0.00004692281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001344533,"about_ca_topic_score_gemma":0.0001652542,"domain_scores_codex":[0.9979075,0.001049598,0.0004524818,0.0002189345,0.0001323008,0.0002391749],"domain_scores_gemma":[0.9980003,0.001530509,0.00009515924,0.0002654291,0.00006381426,0.00004479798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003793982,0.004529489,0.240904,0.0005360765,0.002468374,0.0002264314,0.4119705,0.0007945069,0.004286995,0.3089781,0.011287,0.01022463],"study_design_scores_gemma":[0.004156042,0.0004161852,0.5166726,0.0003501012,0.0009489116,0.000007607644,0.4522531,0.009430752,0.0009211116,0.0050379,0.009406871,0.0003987799],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778408,0.0002106899,0.001312772,0.01899814,0.00005098708,0.0003348533,0.0001083572,0.00003868243,0.001104707],"genre_scores_gemma":[0.9666064,0.00002510119,0.00002606317,0.0326189,0.00004802076,0.0001201056,0.0004012177,0.00000307204,0.0001511231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3039401,"threshold_uncertainty_score":0.329035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839710370556288,"score_gpt":0.5037770446181609,"score_spread":0.3198060075625321,"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."}}