{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006393604,0.0002984015,0.0006307819,0.0003707202,0.000195797,0.0003107821,0.0005417147,0.0002045308,0.2037732],"category_scores_gemma":[0.0002645736,0.0003292914,0.0001508391,0.0002625411,0.0002374956,0.0006971845,0.0002857159,0.0002733873,0.9685996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008391059,"about_ca_system_score_gemma":0.00004109291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001577387,"about_ca_topic_score_gemma":0.000001727552,"domain_scores_codex":[0.9981464,0.00001646729,0.000840309,0.0004969,0.00007128956,0.0004286593],"domain_scores_gemma":[0.9985226,0.00003023614,0.0006793858,0.0005068372,0.0001318933,0.0001290797],"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":[0.00001057271,0.00001204177,0.00003279497,0.00004229038,0.00008511111,0.000001045798,0.001107813,0.000003993406,1.533803e-7,0.00247346,0.9957528,0.0004778852],"study_design_scores_gemma":[0.0002816373,0.00009656413,0.000286304,0.00003505206,0.000009425043,0.000001054812,0.00006686013,0.00003622254,0.000004666496,0.0001268571,0.9986865,0.000368835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003503267,0.001868618,0.0001008655,0.0002300905,0.05264767,0.0002056107,0.002036635,0.00003937047,0.9425208],"genre_scores_gemma":[0.0003178051,0.001320961,0.000117308,0.0006248775,0.002181067,0.00001275067,0.0002445829,0.00003548441,0.9951451],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7648264,"threshold_uncertainty_score":0.9999159,"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."}}