{"id":"W4387706265","doi":"10.33137/rr.v46i1.41745","title":"Acciarino, Damiano, project lead. Atlas of Renaissance Antiquarianism (ATRA). Database","year":2023,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Renaissance and Early Modern Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Renaissance; Atlas (anatomy); Lead (geology); Database; Art; Computer science; Art history; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.002553713,0.001099798,0.001039291,0.01088233,0.001638944,0.009514065,0.00206377,0.001688539,0.3562714],"category_scores_gemma":[0.0153938,0.000575007,0.0004436925,0.01624686,0.0005689039,0.004329795,0.004480387,0.001515565,0.2485579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002432382,"about_ca_system_score_gemma":0.004914503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01530454,"about_ca_topic_score_gemma":0.01649181,"domain_scores_codex":[0.9981539,0.0002895076,0.0002087253,0.0003672364,0.0007840192,0.0001966416],"domain_scores_gemma":[0.9910012,0.001704932,0.000676704,0.00219692,0.002934622,0.001485646],"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":[0.00004169756,0.000008530733,0.0003864101,0.0004842201,0.000004462273,0.00002105652,0.0001012219,0.00002991939,0.00006811385,0.00276793,0.9646813,0.0314052],"study_design_scores_gemma":[0.000008546502,0.000003035208,0.0006432621,0.000146992,0.000003271318,0.00002480077,0.00007680521,0.00002523359,0.0000608789,0.000544583,0.9984584,0.000004237173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001209617,0.004877724,0.002547312,0.005253884,0.00193631,0.0003308204,0.7554418,0.008398477,0.220004],"genre_scores_gemma":[0.01111139,0.0063307,0.009621121,0.002196137,0.001315074,0.001339257,0.8099974,0.005584796,0.1525041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3562714,"threshold_uncertainty_score":0.9182007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05559838620370897,"score_gpt":0.2749725055858487,"score_spread":0.2193741193821397,"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."}}