{"id":"W4251057269","doi":"10.1111/vox.12806","title":"Issue Information","year":2020,"lang":"en","type":"paratext","venue":"Vox Sanguinis","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Citation; Computer 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002001752,0.0002608824,0.0006716549,0.0002823124,0.0001319564,0.0002386797,0.0004036728,0.0002302992,0.2168802],"category_scores_gemma":[0.0001055268,0.000312344,0.0002101329,0.0002159741,0.00008250926,0.0004082413,0.0001985173,0.0002200611,0.9368665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018443,"about_ca_system_score_gemma":0.0000318724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001920696,"about_ca_topic_score_gemma":0.00000190419,"domain_scores_codex":[0.9984481,0.000006005507,0.0007615542,0.0004324167,0.00003845301,0.0003135064],"domain_scores_gemma":[0.9988742,0.00002226758,0.0005908249,0.0003690919,0.00003366905,0.0001099879],"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":[0.000004813091,0.000008816292,0.00002476484,0.00006865328,0.00009374751,7.907858e-7,0.00122169,0.00001453978,1.052276e-7,0.005719724,0.9920211,0.0008212067],"study_design_scores_gemma":[0.0002349075,0.0000251742,0.00003138107,0.0000160946,0.000008045107,6.273906e-7,0.0003998207,0.00008362401,0.000006511483,0.0003233389,0.9985193,0.0003511759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001839132,0.003587858,0.0001742189,0.000893458,0.0250598,0.0001992032,0.005839088,0.00004244663,0.9641855],"genre_scores_gemma":[0.0007798329,0.001217716,0.0002309886,0.002203359,0.001121395,0.00003288899,0.0006317957,0.00002617589,0.9937559],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7199862,"threshold_uncertainty_score":0.9999329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333164880147706,"score_gpt":0.2142373784966872,"score_spread":0.1809057296952101,"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."}}