{"id":"W2291899460","doi":"","title":"Assessing the relative effectiveness of technological strategies for fighting counterfeit medicines","year":2010,"lang":"en","type":"article","venue":"","topic":"RFID technology advancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Counterfeit; Counterfeit Drugs; Business; Barcode; Radio-frequency identification; Order (exchange); Supply chain; Technological change; Value (mathematics); Risk analysis (engineering); Marketing; Computer security; Computer science; Finance; Political science","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":[0.02469189,0.0007982605,0.0004199663,0.0027047,0.0008903319,0.003078796,0.001096747,0.002262667,0.002880807],"category_scores_gemma":[0.08606232,0.000276714,0.0006526125,0.001757049,0.001632703,0.004267665,0.001548319,0.0008660767,0.0004706682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275753,"about_ca_system_score_gemma":0.001313992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431987,"about_ca_topic_score_gemma":0.002385201,"domain_scores_codex":[0.977185,0.01503999,0.001412917,0.001100636,0.00410922,0.001152398],"domain_scores_gemma":[0.8140683,0.1515499,0.02053162,0.003916266,0.00765584,0.002278118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009519849,0.006577895,0.3805244,0.001875362,0.001984863,0.0003888386,0.0025649,0.01899021,0.007057146,0.01621596,0.00102651,0.553274],"study_design_scores_gemma":[0.001370808,0.05919912,0.8131137,0.001635668,0.003623995,0.001198976,0.02406881,0.03253371,0.03273855,0.00899254,0.02126536,0.0002587443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784268,0.00199922,0.001399031,0.0006366455,0.00002285682,0.0001602084,0.00005579789,0.0000129413,0.01728655],"genre_scores_gemma":[0.9968226,0.000756996,0.001499534,0.0001159784,0.00002078229,0.00007009971,0.00005340044,0.000003441371,0.0006572336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02469189,"threshold_uncertainty_score":0.1305848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013190545205004,"score_gpt":0.3030239951599812,"score_spread":0.2898334499549772,"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."}}