{"id":"W4399139284","doi":"10.31579/2578-8949/156","title":"Pharmaceutical Product Liability","year":2024,"lang":"en","type":"article","venue":"Dermatology and Dermatitis","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Karachi; University of Calgary","keywords":"Product liability; Business; Liability; Product (mathematics); Accounting; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759939,0.0001267491,0.0002498772,0.00007075162,0.00009421702,0.00004846122,0.00004124613,0.00008764041,0.0003371196],"category_scores_gemma":[0.0001089058,0.0001077854,0.00006247168,0.0001387372,0.0002699442,0.0001650272,0.00004738495,0.0003799286,0.0002495955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001846539,"about_ca_system_score_gemma":0.00006145982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004429222,"about_ca_topic_score_gemma":0.000001155995,"domain_scores_codex":[0.9989438,0.0001027789,0.0002681743,0.00029289,0.0001241008,0.0002682327],"domain_scores_gemma":[0.9994066,0.0002120604,0.0000138548,0.0001445882,0.00003669118,0.0001862389],"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":[0.0003148804,0.0008355197,0.191766,0.02115982,0.000885325,0.01367194,0.004479783,0.0000015082,0.01010568,0.19719,0.1215116,0.4380778],"study_design_scores_gemma":[0.001068701,0.00004464068,0.02961211,0.0003695771,0.000331444,0.03890294,0.0001323841,0.01715987,0.02859982,0.006874123,0.87656,0.0003444095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740253,0.01571704,0.001585224,0.07823157,0.0005843128,0.0003952979,0.00002085379,0.0005556996,0.02888468],"genre_scores_gemma":[0.9898272,0.0004494034,0.0002538473,0.009114978,0.0001221844,0.00002193432,0.00001404718,0.00001147843,0.000184955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7550483,"threshold_uncertainty_score":0.439536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993946015874283,"score_gpt":0.3773289111434103,"score_spread":0.3373894509846675,"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."}}