{"id":"W2971965618","doi":"10.23977/acss.2019.31005","title":"Application of Modern Computer Technology in Adverse Drug Reactions","year":2019,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverse drug reaction; Field (mathematics); Drug reaction; Data mining; Medical record; Computer science; Data science; Drug; Medicine; Pharmacology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003958708,0.0001634254,0.0003755153,0.0003661108,0.00004829473,0.000006952531,0.0001803427,0.0001598674,0.00001883619],"category_scores_gemma":[0.000002980613,0.0001616216,0.00004451509,0.0004073459,0.00009382818,0.0003569619,0.00006887689,0.0004415535,0.00003278926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005058079,"about_ca_system_score_gemma":0.00002571398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004368079,"about_ca_topic_score_gemma":0.00002127361,"domain_scores_codex":[0.9986041,0.0001571121,0.0005222946,0.0003526291,0.00009810814,0.000265792],"domain_scores_gemma":[0.9992,0.0002719103,0.0002185273,0.0001910673,0.0000560615,0.00006238248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009745819,0.0003807599,0.2711553,0.0003835969,0.0000514808,0.00001892658,0.0005916317,0.625321,0.02726458,0.004058883,0.0001508547,0.07052549],"study_design_scores_gemma":[0.001678305,0.00005846486,0.002065573,0.0001499672,0.00001529703,0.0000325138,0.0001385483,0.9287284,0.001640111,0.001784699,0.06348616,0.0002219606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315696,0.006290966,0.05700185,0.0002784324,0.002676763,0.001087072,0.0000333176,0.00008774654,0.000974289],"genre_scores_gemma":[0.9976411,0.0012615,0.000580155,0.0001598067,0.0001305435,0.00009164838,0.00001018929,0.00001178502,0.0001131975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3034074,"threshold_uncertainty_score":0.6590737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437384594873865,"score_gpt":0.3825548973349764,"score_spread":0.3481810513862378,"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."}}