{"id":"W4250808196","doi":"10.1111/ejh.12951","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"European Journal Of Haematology","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Citation; Computer science; Information retrieval; Library science; World Wide Web; Internet privacy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010795,0.001615423,0.001400743,0.003222124,0.001883216,0.008631866,0.001765148,0.002244826,0.9219986],"category_scores_gemma":[0.004801404,0.0006331815,0.000996217,0.002820461,0.0006337189,0.005140259,0.002678741,0.002248937,0.8720587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004467,"about_ca_system_score_gemma":0.00160912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760585,"about_ca_topic_score_gemma":0.00297253,"domain_scores_codex":[0.9987782,0.0001233667,0.00008185333,0.0001998769,0.0006719802,0.0001447662],"domain_scores_gemma":[0.9971277,0.0003279088,0.0001833267,0.0002986943,0.00105517,0.00100728],"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":[0.000017427,0.00002243083,0.00004798225,0.0001090657,0.000001684974,0.00002233113,0.000009361534,0.00001711379,0.00007324811,0.0009932502,0.9669878,0.03169833],"study_design_scores_gemma":[0.000007257094,0.000008909692,0.0002013159,0.00006514589,8.576301e-7,0.00003820904,0.00002100423,0.00002102511,0.00002885766,0.0003655866,0.9992387,0.000003173354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002553653,0.001467406,0.0004129076,0.00236229,0.01751527,0.0002686767,0.006245428,0.001334835,0.9701379],"genre_scores_gemma":[0.0008640057,0.000859466,0.0002608286,0.001243057,0.002897846,0.00006547136,0.003504515,0.0004430126,0.9898618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07800138,"threshold_uncertainty_score":0.1112594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797116414890033,"score_gpt":0.3059243906027594,"score_spread":0.2879532264538591,"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."}}