{"id":"W4393485855","doi":"10.5281/zenodo.10231734","title":"Headstone of John Brown and Elizabeth Gamble","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Art 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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005040978,0.0001527271,0.0002288477,0.0002968116,0.001980863,0.0003080265,0.0006169829,0.00009561599,0.1418429],"category_scores_gemma":[0.0004549149,0.0001481856,0.00003854526,0.0001413456,0.001112121,0.0001598753,0.0005886616,0.0003306175,0.003695842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004500369,"about_ca_system_score_gemma":0.000007226422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000888667,"about_ca_topic_score_gemma":0.00000612097,"domain_scores_codex":[0.9986259,0.0001659601,0.0003377791,0.000304192,0.0003384151,0.0002277969],"domain_scores_gemma":[0.9985383,0.00002387901,0.0001929348,0.0004363288,0.0006857927,0.0001227763],"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":[0.00002100322,0.00009810706,2.46944e-8,0.0002188829,0.00003421865,0.000002629066,0.001200656,1.21785e-7,0.00002979683,0.01036775,0.9853136,0.002713198],"study_design_scores_gemma":[0.0002155146,0.0003091648,0.000003454847,0.00008426092,0.00002911594,0.00001410109,0.0001969587,0.000005859696,0.00001510592,0.000150499,0.9988234,0.0001525808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001239115,0.0002010167,0.00003240632,0.0002297011,0.0003210118,0.0002292055,0.8971916,0.0001528256,0.1015183],"genre_scores_gemma":[0.0004940794,0.0002258558,0.00002669522,0.0002559746,0.0007127899,3.555551e-8,0.9930741,0.0004625457,0.004747921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1381471,"threshold_uncertainty_score":0.9993184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06080401733813315,"score_gpt":0.256358901222223,"score_spread":0.1955548838840898,"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."}}