{"id":"W2995659913","doi":"10.7417/ct.2020.2191","title":"Campaign manufacturing of highly active or sensitizing drugs: a comparison between the GMPs of various Regulatory Agencies.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Good manufacturing practice; Medicine; Product (mathematics); Quality (philosophy); Production (economics); Compromise; Active ingredient; Risk analysis (engineering); Business; Marketing; Pharmacology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00842112,0.0003592366,0.0001935259,0.003192782,0.0006086833,0.0016332,0.0004977695,0.0009480181,0.001651579],"category_scores_gemma":[0.01108821,0.000141453,0.0005115248,0.003057654,0.001164447,0.0008944005,0.001108244,0.000689886,0.000325296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002363472,"about_ca_system_score_gemma":0.001816924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004457036,"about_ca_topic_score_gemma":0.004151374,"domain_scores_codex":[0.9914079,0.001814034,0.0006658657,0.0007931477,0.004904612,0.000414453],"domain_scores_gemma":[0.9788914,0.007446114,0.008024795,0.001412392,0.003844523,0.0003807247],"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":[0.004476288,0.00082341,0.2755286,0.004466701,0.0005405709,0.002180811,0.009884482,0.002244061,0.1085535,0.01115286,0.004411969,0.5757368],"study_design_scores_gemma":[0.00007445939,0.005438274,0.7563313,0.001085126,0.0006678556,0.004278576,0.0103407,0.001386229,0.07323405,0.002148369,0.1448852,0.000129868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400085,0.01889921,0.004894208,0.000779718,0.0001063903,0.00040292,0.00142498,0.00008088492,0.03340316],"genre_scores_gemma":[0.9857722,0.004401823,0.006189739,0.000392311,0.00004135335,0.00008589401,0.001143933,0.00002673321,0.001946023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00842112,"threshold_uncertainty_score":0.0445357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201771609177898,"score_gpt":0.3190945237333477,"score_spread":0.1989173628155579,"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."}}