{"id":"W4299928288","doi":"10.1111/cge.13109","title":"Issue Information ‐ Editorial Board","year":2018,"lang":"en","type":"paratext","venue":"Clinical Genetics","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Citation; Editorial board; Computer science; Library science; Information retrieval; 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":["research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000581707,0.0002598466,0.0007181578,0.00009681818,0.00006011606,0.00005141634,0.0002342383,0.001373107,0.01678501],"category_scores_gemma":[0.003665228,0.0001943553,0.0002926679,0.0001299662,0.0004024428,0.00004451235,0.0001710784,0.001101644,0.2567596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007411133,"about_ca_system_score_gemma":0.001198626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001500712,"about_ca_topic_score_gemma":0.000001640105,"domain_scores_codex":[0.996832,0.000124295,0.001042547,0.0003113374,0.001236202,0.000453591],"domain_scores_gemma":[0.9970404,0.0004342583,0.0002343681,0.0006501917,0.0005936379,0.001047163],"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":[0.0003394537,0.0001973525,0.0002694491,0.0001636095,0.0002025794,0.00000899824,0.00001649554,1.524298e-7,8.489875e-7,0.000001050377,0.9570906,0.04170938],"study_design_scores_gemma":[0.00277775,0.002776885,0.0005572024,0.0001996306,0.0001845074,0.000002256651,0.000006953122,0.00003570332,0.00005179046,0.00003855205,0.9932171,0.0001516822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003257085,0.002271427,0.0006179575,0.001647933,0.5690472,0.001707728,0.0003117296,0.00006519145,0.4210738],"genre_scores_gemma":[0.0006110616,0.01563723,0.002143575,0.002752852,0.5589764,0.00005635114,0.003157693,0.00005559106,0.4166092],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2399746,"threshold_uncertainty_score":0.9999233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07265328945657479,"score_gpt":0.4746296815279525,"score_spread":0.4019763920713778,"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."}}