{"id":"W3104858017","doi":"10.5530/ijpi.2020.3.47","title":"A Review On Regulatory Requirements To Prevent Counterfeit Drugs In India","year":2020,"lang":"en","type":"review","venue":"International Journal of Pharmaceutical Investigation","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Counterfeit Drugs; Business; Risk analysis (engineering); Agency (philosophy); Internet privacy; Computer security; Computer science; Political science; Law","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002026773,0.0004403632,0.00172463,0.0006248696,0.00002661204,0.00005829537,0.0006373247,0.0002102392,0.0002537789],"category_scores_gemma":[0.001350547,0.0003662779,0.0006101321,0.0005587805,0.0001073471,0.0002461856,0.0001525705,0.001675343,0.0002432713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349626,"about_ca_system_score_gemma":0.0009120137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001770582,"about_ca_topic_score_gemma":1.814301e-7,"domain_scores_codex":[0.99453,0.0005583778,0.002437929,0.0004124554,0.001747249,0.0003140296],"domain_scores_gemma":[0.996999,0.0003632342,0.001071825,0.0002065236,0.0005264141,0.0008330509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003642788,0.0005454599,0.00002651976,0.02668023,0.0009169038,0.0005733433,0.0002519352,0.000003136954,0.00009643493,0.0008130833,0.007722207,0.9620064],"study_design_scores_gemma":[0.0007837035,0.0002448302,0.00002848887,0.202131,0.0009786761,0.0003485997,0.00001173896,0.00005708437,0.0002273937,0.0001358608,0.7948172,0.0002354345],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002879686,0.9888713,0.00002329104,0.007801175,0.001052226,0.001197497,0.00004105508,0.0000227269,0.0007027964],"genre_scores_gemma":[0.001228041,0.9619696,0.000182379,0.03531618,0.001090156,0.00004876047,0.00006297928,0.00005191559,0.00004999993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.961771,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083177048757144,"score_gpt":0.500269981016165,"score_spread":0.2919522761404507,"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."}}