{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003139151,0.001144609,0.0009813752,0.002096151,0.002135967,0.008880903,0.001625776,0.003778867,0.576997],"category_scores_gemma":[0.01779614,0.0004142502,0.000659475,0.001485022,0.0008181694,0.004498377,0.001770416,0.003320107,0.4527977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173757,"about_ca_system_score_gemma":0.002822503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014686,"about_ca_topic_score_gemma":0.00195471,"domain_scores_codex":[0.9971721,0.0003370046,0.000239296,0.0003049138,0.001665776,0.0002809608],"domain_scores_gemma":[0.9842662,0.002101323,0.0007340359,0.0008965618,0.008722751,0.003279246],"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":[0.000007327487,0.000005920854,0.00001548704,0.00003899194,4.863026e-7,0.00001176736,0.000004612823,0.000007494003,0.00002672631,0.0003934323,0.9914493,0.008038531],"study_design_scores_gemma":[0.000005800163,0.000004895681,0.00007412289,0.00004316085,6.248824e-7,0.00001468423,0.00001410901,0.00001917011,0.00004380421,0.0003163993,0.9994608,0.000002488071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003145502,0.002378259,0.0008298397,0.04811917,0.5032045,0.0004500501,0.003043276,0.001573238,0.440087],"genre_scores_gemma":[0.001798106,0.001579585,0.0003747079,0.01091878,0.08773581,0.0001584101,0.001501392,0.0006649236,0.8952683],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.576997,"threshold_uncertainty_score":0.6033623,"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."}}