{"id":"W4410087752","doi":"10.33137/rr.v47i4.45363","title":"Front Cover","year":2025,"lang":"en","type":"paratext","venue":"Renaissance and Reformation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front cover; Front (military); Cover (algebra); Geography; Engineering; Meteorology; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005756315,0.001070221,0.0007928563,0.001934002,0.002918704,0.00787999,0.001245697,0.004787995,0.8832245],"category_scores_gemma":[0.002732916,0.0004685133,0.0006808128,0.001554232,0.0009235647,0.002616536,0.002567196,0.002959985,0.8328503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350156,"about_ca_system_score_gemma":0.002506924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009699513,"about_ca_topic_score_gemma":0.03264895,"domain_scores_codex":[0.9993538,0.00006939135,0.00001592803,0.00008415955,0.0003580825,0.0001185774],"domain_scores_gemma":[0.9990125,0.0001364583,0.00003237508,0.000105301,0.0004242651,0.000289049],"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":[0.00001685285,0.00001660995,0.00002887336,0.00004766281,0.000001044403,0.00002341862,0.00001415172,0.00002861816,0.00009942046,0.003781311,0.9775625,0.0183795],"study_design_scores_gemma":[0.00001026226,0.000009141439,0.000276269,0.00005539931,0.000001130733,0.00001662238,0.00003592653,0.00005710513,0.00007941892,0.001588034,0.9978661,0.000004721887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001554649,0.0002437647,0.0002177498,0.0008034644,0.001449581,0.00008982197,0.002167226,0.0004408279,0.9944322],"genre_scores_gemma":[0.000243428,0.00005183168,0.00004069056,0.0001927726,0.00008651339,0.00001723951,0.0003349141,0.00008597228,0.9989467],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1167755,"threshold_uncertainty_score":0.166566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290644386796547,"score_gpt":0.2644701054551953,"score_spread":0.2515636615872299,"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."}}