{"id":"W4205902269","doi":"10.1111/1468-0009.12266","title":"Notes on Contributors","year":2017,"lang":"en","type":"article","venue":"Milbank Quarterly","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Citation; Information retrieval; Computer science; Library science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005353139,0.0001127879,0.00009375985,0.00001614376,0.0002674258,0.00009723481,0.0002697938,0.00007578922,0.00002364882],"category_scores_gemma":[0.0000592579,0.00009497986,0.00009537223,0.00000669592,0.00006181721,0.000002204776,0.00002182259,0.00003864164,0.00008969849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005141535,"about_ca_system_score_gemma":0.00002715952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004458664,"about_ca_topic_score_gemma":0.00004593475,"domain_scores_codex":[0.99941,0.00001452753,0.00009227194,0.0002307157,0.00006633091,0.0001861377],"domain_scores_gemma":[0.9991744,0.000007575577,0.00006868447,0.0006285272,0.00004024978,0.0000806119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000705532,0.000593866,0.02677891,0.00004075922,0.0003304052,0.0001779713,0.0003992351,0.00002538825,0.7864323,0.003636847,0.03835006,0.1425288],"study_design_scores_gemma":[0.004112864,0.006247662,0.3439953,0.00005749594,0.00008904209,0.00004308457,0.0002603054,0.00008183636,0.1871009,0.002067569,0.454657,0.001286904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962031,0.0002339275,0.0001326076,0.0004989201,0.0002871052,0.00008678274,0.00006857767,0.000009117773,0.002479814],"genre_scores_gemma":[0.9986331,0.00001611207,0.00004592728,0.0003507801,0.000323133,0.00001006392,0.00006979608,0.00001358124,0.0005375012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5993314,"threshold_uncertainty_score":0.3873166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009734667984342419,"score_gpt":0.2570098550582994,"score_spread":0.247275187073957,"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."}}