{"id":"W4410087769","doi":"10.33137/rr.v47i4.45401","title":"Back Inside Cover","year":2025,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Engineering; 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":[0.0004997851,0.0009678077,0.001017553,0.002227568,0.002390803,0.006056402,0.001244187,0.002318456,0.8674769],"category_scores_gemma":[0.004157373,0.0004092488,0.0007296671,0.001632333,0.0006202299,0.003207576,0.003160506,0.002676546,0.8541295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484899,"about_ca_system_score_gemma":0.001724799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003939999,"about_ca_topic_score_gemma":0.01069613,"domain_scores_codex":[0.9992601,0.0000519894,0.00001847084,0.0001070676,0.0004622854,0.00009997488],"domain_scores_gemma":[0.9981358,0.0002083106,0.00007957421,0.0002365695,0.0008244622,0.0005151889],"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":[0.00001346726,0.0000142107,0.00004109702,0.0000363675,0.00000113467,0.00001594353,0.00001106464,0.00001820034,0.00009708772,0.001276125,0.9709283,0.027547],"study_design_scores_gemma":[0.000005089104,0.000007642754,0.0002287966,0.00005055,0.000001224979,0.00001506511,0.00002730937,0.00002462821,0.00008145579,0.001051773,0.998503,0.000003611648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003166079,0.001173277,0.0004514504,0.00317047,0.01328579,0.0001180611,0.00249068,0.0009143749,0.9780793],"genre_scores_gemma":[0.0005092935,0.0002477943,0.000081339,0.000579618,0.001015368,0.00001863306,0.000667677,0.0002216225,0.9966587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1325231,"threshold_uncertainty_score":0.189028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572917579165616,"score_gpt":0.2119048112337179,"score_spread":0.1861756354420618,"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."}}