{"id":"W7005364030","doi":"","title":"A prescription for transparency","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wonder; Transparency (behavior); Prime minister; Successor cardinal; House of Commons; Medical prescription","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":[0.04713307,0.001272978,0.00125181,0.002544719,0.007956039,0.02389752,0.003977157,0.03659631,0.1053815],"category_scores_gemma":[0.1925016,0.0009425293,0.002220354,0.002211021,0.02013263,0.03451508,0.01198583,0.0593409,0.05258963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006881163,"about_ca_system_score_gemma":0.02152628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00818738,"about_ca_topic_score_gemma":0.006675125,"domain_scores_codex":[0.9533779,0.01725542,0.002047284,0.005627966,0.01677534,0.004916086],"domain_scores_gemma":[0.8555136,0.07632755,0.005593491,0.02384118,0.02643468,0.01228949],"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":[0.00002508734,0.00002636111,0.00005692153,0.0000697674,0.000005595949,0.00004569819,0.0003209205,0.0000617706,0.0000686502,0.2597215,0.7293379,0.01025975],"study_design_scores_gemma":[0.0000269332,0.00001152237,0.00008141495,0.0002832811,0.000004198177,0.00005184464,0.0002826741,0.0001041882,0.00007901709,0.05338132,0.9456703,0.00002340113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002848422,0.002378254,0.003266416,0.8396832,0.03145114,0.0000901345,0.0003504754,0.0006141515,0.1218813],"genre_scores_gemma":[0.01450065,0.002036787,0.006348376,0.8343606,0.01213994,0.0004034078,0.0002302671,0.0007679352,0.129212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1053815,"threshold_uncertainty_score":0.3525363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005818374683099474,"score_gpt":0.2012050754127777,"score_spread":0.1953867007296783,"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."}}