{"id":"W4248512627","doi":"10.1111/emed.12242","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Early Medieval Europe","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Identification (biology); Computer science; Library science; Information retrieval; History","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":[0.001258477,0.001557217,0.001536967,0.003375032,0.001752044,0.008431579,0.002022766,0.002530942,0.9285054],"category_scores_gemma":[0.008730862,0.0005947602,0.0008663983,0.003872463,0.0004989668,0.005407336,0.00231328,0.002423062,0.8988159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545826,"about_ca_system_score_gemma":0.002279021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686236,"about_ca_topic_score_gemma":0.004355913,"domain_scores_codex":[0.9987805,0.0001320694,0.0001003506,0.0001976066,0.0006375249,0.0001519103],"domain_scores_gemma":[0.994279,0.0006876329,0.0002705337,0.0005830525,0.002646798,0.001533002],"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":[0.000009375247,0.000008150118,0.00002005299,0.00007764015,6.989422e-7,0.000005751028,0.000004217513,0.00001150818,0.00002892393,0.0004848677,0.9867089,0.01263995],"study_design_scores_gemma":[0.000008350996,0.000007182605,0.0001235313,0.0000754404,8.329707e-7,0.00001392609,0.00001574842,0.00001673435,0.00003145181,0.0004295323,0.9992744,0.000002838678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001769308,0.001195105,0.0006875389,0.004341976,0.01785436,0.0004486505,0.03618761,0.002488121,0.9366198],"genre_scores_gemma":[0.0007854317,0.0009647979,0.0003359562,0.002104215,0.003111904,0.0001500871,0.01565637,0.0009034467,0.9759878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07149458,"threshold_uncertainty_score":0.1019782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045840229796741,"score_gpt":0.2186117099450037,"score_spread":0.1881533076470363,"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."}}