{"id":"W4285608140","doi":"10.1017/9781800105515.001","title":"Preface and Acknowledgments","year":2022,"lang":"en","type":"other","venue":"","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.002718564,0.0009429707,0.0007532702,0.002638347,0.003940749,0.004337703,0.001770108,0.001678613,0.2767143],"category_scores_gemma":[0.02247038,0.0003340565,0.0004405361,0.001805929,0.001028595,0.003363408,0.003543128,0.004209307,0.161443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452739,"about_ca_system_score_gemma":0.003631379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004638756,"about_ca_topic_score_gemma":0.004255906,"domain_scores_codex":[0.997968,0.0004296746,0.0001884968,0.0003920295,0.0008354273,0.0001864508],"domain_scores_gemma":[0.9902658,0.002124771,0.0004361104,0.000763522,0.005474814,0.000934957],"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":[0.00004276344,0.00001665696,0.0001798306,0.0002287641,0.000002944791,0.0001033725,0.0006153874,0.00004343488,0.0001502935,0.008497587,0.9597657,0.03035324],"study_design_scores_gemma":[0.000003907793,0.00001041556,0.0003023146,0.0001812211,0.000001569299,0.00005817313,0.0002771212,0.00001650916,0.00005733338,0.001684588,0.9974016,0.000005255171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003835347,0.01392618,0.009354184,0.07086434,0.2377751,0.001298304,0.03278808,0.002294595,0.6278639],"genre_scores_gemma":[0.02415445,0.008246991,0.006566402,0.02161137,0.04326985,0.001602085,0.0300974,0.002137711,0.8623137],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2767143,"threshold_uncertainty_score":0.9257016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824078512933685,"score_gpt":0.5135532973575289,"score_spread":0.3311454460641603,"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."}}