{"id":"W4393114064","doi":"10.1007/s40278-024-54690-6","title":"Counterfeit Viagra and Cialis seized from stores in Toronto","year":2024,"lang":"en","type":"article","venue":"Reactions Weekly","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Counterfeit; Business; Advertising; Internet privacy; Computer science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002130629,0.00009773565,0.0001789797,0.00005557475,0.00004967189,0.00006455483,0.00003405347,0.00007416422,0.0006408831],"category_scores_gemma":[0.00007411845,0.00008902557,0.00004904915,0.0001092313,0.00004690342,0.0002400251,0.00002258688,0.000236254,0.00006281064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217642,"about_ca_system_score_gemma":0.0000623814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01194645,"about_ca_topic_score_gemma":0.002348453,"domain_scores_codex":[0.9991961,0.00004402365,0.0002196066,0.0002296453,0.0001515259,0.0001591255],"domain_scores_gemma":[0.9994953,0.0002307922,0.00001829015,0.0001289775,0.00002447392,0.0001021231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002615592,0.001908138,0.02730578,0.002453964,0.001387325,0.001780164,0.01594819,0.00001225248,0.5558125,0.05245376,0.03577455,0.3025478],"study_design_scores_gemma":[0.001921335,0.0001612273,0.04134204,0.001065619,0.0003125512,0.0001509414,0.004706989,0.01046621,0.002386788,0.001639263,0.9355091,0.00033793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508433,0.00677502,0.0003054721,0.005672067,0.0005174387,0.0002181283,0.00006995121,0.0002174016,0.03538123],"genre_scores_gemma":[0.9970749,0.0004667176,0.00009138657,0.0005790244,0.000350801,0.00001877444,0.00002673035,0.00001489257,0.001376794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8997346,"threshold_uncertainty_score":0.9946331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04133360252866924,"score_gpt":0.3914703583534617,"score_spread":0.3501367558247925,"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."}}