{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004320768,0.0002301793,0.0002474841,0.0001201109,0.0001387621,0.00001096839,0.0002443972,0.0003604496,0.6188483],"category_scores_gemma":[0.0001146499,0.000204848,0.00004424354,0.00008578922,0.0001672527,0.00005105736,0.000302842,0.001396505,0.001229132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449474,"about_ca_system_score_gemma":0.00006207951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003248257,"about_ca_topic_score_gemma":0.00003053951,"domain_scores_codex":[0.9986424,0.0003929169,0.0001595726,0.0003439153,0.0001641195,0.0002970889],"domain_scores_gemma":[0.9991281,0.0002575195,0.0001472189,0.0001552025,0.000008610386,0.0003033249],"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":[0.00004649433,0.0001758406,0.0004427256,0.0001046285,0.0002682015,0.00003981792,0.00007153241,3.897935e-7,0.000105551,0.0004727158,0.9780703,0.02020187],"study_design_scores_gemma":[0.0009986309,0.0000424971,0.00001887872,0.000009398312,0.0002116885,0.00001672562,0.00005164973,0.00005044675,0.0001604182,0.00008356447,0.9981269,0.000229151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001117943,0.00808485,0.000008727016,0.000987365,0.002316183,0.0003847037,0.00008881048,0.0003024004,0.9877152],"genre_scores_gemma":[0.000905714,0.005676109,0.0001052537,0.008153296,0.0005058734,0.00008186827,0.00005750333,0.0002030467,0.9843113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6176191,"threshold_uncertainty_score":0.9995486,"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."}}