{"id":"W4392812882","doi":"10.2196/54023","title":"Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Toyobo Biotechnology Foundation","keywords":"Medical prescription; Harm; Business; Social media; Medicine; Family medicine; Over-the-counter; Cross-sectional study; Advertising; Environmental health; Psychology; Nursing; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007760603,0.0003699693,0.0004680608,0.001139768,0.001352138,0.0009832736,0.0004898146,0.0007429282,0.00259788],"category_scores_gemma":[0.001644282,0.0007907866,0.0006476402,0.001595826,0.0004942293,0.001729234,0.001317115,0.00100367,0.0009443312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008288781,"about_ca_system_score_gemma":0.000928043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065484,"about_ca_topic_score_gemma":0.03432916,"domain_scores_codex":[0.9994111,0.00008970493,0.0001101392,0.000148526,0.0001071265,0.0001334438],"domain_scores_gemma":[0.9984035,0.0001720857,0.0007239448,0.000107586,0.000289329,0.0003034876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005243947,0.000114654,0.9971101,0.00007637702,0.00002900607,0.0001371421,0.001144658,0.00000670288,0.0001521055,0.00002163376,0.0003606921,0.0007945314],"study_design_scores_gemma":[0.000007358204,0.0001607044,0.9943008,0.00004189511,0.0000651435,0.0002662803,0.004313145,0.00008586698,0.00004954216,0.00001779808,0.0006791229,0.00001221278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978086,0.0002866803,0.00006351124,0.0000842415,0.000009788651,0.00006936445,0.0009352042,0.000003378321,0.0007392252],"genre_scores_gemma":[0.9968584,0.0004775829,0.0002093243,0.0004426988,0.00003207256,0.0001655434,0.001128272,0.000005602754,0.0006805094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02065484,"threshold_uncertainty_score":0.04106927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2528634675616356,"score_gpt":0.5548155855315046,"score_spread":0.3019521179698689,"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."}}