{"id":"W4213156898","doi":"10.1080/00085030.2019.1647672","title":"Correction","year":2019,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Philosophy; Epistemology; Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003479601,0.001242807,0.0009757985,0.005176692,0.00271686,0.006213611,0.002258351,0.004125287,0.3387266],"category_scores_gemma":[0.06510866,0.0006008258,0.00127826,0.002793763,0.001453456,0.002759041,0.002568112,0.005937426,0.2068975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003779711,"about_ca_system_score_gemma":0.007613201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462927,"about_ca_topic_score_gemma":0.01624479,"domain_scores_codex":[0.9944376,0.0007360076,0.0006652437,0.0008071538,0.002797115,0.0005568623],"domain_scores_gemma":[0.9649838,0.006143704,0.001330986,0.003772593,0.02236194,0.001407113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001091655,0.00000222501,0.00003998445,0.00006209785,0.00000314481,0.00004003497,0.00002362176,0.00001331367,0.00002054042,0.001889347,0.9891775,0.00871741],"study_design_scores_gemma":[0.000006151538,0.000002882638,0.0001758743,0.000120092,0.000004848101,0.00007031783,0.00003185755,0.00002261304,0.00005745335,0.0008056354,0.9986959,0.000006333241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002396591,0.001773337,0.001447482,0.0577286,0.8648281,0.00009547991,0.006774573,0.001138126,0.06597458],"genre_scores_gemma":[0.007652825,0.003665498,0.003567281,0.04028687,0.08954006,0.0002487582,0.009769117,0.002121562,0.8431479],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3387266,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06178588616943471,"score_gpt":0.3936979982518798,"score_spread":0.3319121120824451,"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."}}