{"id":"W4246401268","doi":"10.1002/9781444338386.wbeah19207.pub2","title":"Agricola, Gnaeus Iulius","year":2020,"lang":"en","type":"other","venue":"The Encyclopedia of Ancient History","topic":"Historical Studies in Science","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biography; Governor; Subject (documents); History; Law; Art; Genealogy; Political science; Engineering; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001830592,0.0002649537,0.0004189391,0.00010419,0.0001859594,0.000008530237,0.0009596157,0.00008169418,0.02179855],"category_scores_gemma":[0.0001344926,0.0001761819,0.0001666019,0.00007509586,0.00160875,0.00003769121,0.0001964072,0.0002954754,0.001185794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244814,"about_ca_system_score_gemma":0.0001661523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007423573,"about_ca_topic_score_gemma":0.001101595,"domain_scores_codex":[0.9983433,0.00005813659,0.0003154601,0.0003695393,0.000613366,0.0003002076],"domain_scores_gemma":[0.9988594,0.00009244869,0.0004018687,0.0004912695,0.00004940359,0.0001055965],"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":[0.000003727024,0.00004006833,0.000003373492,0.00005320272,0.00002157097,0.000005452283,0.0222371,2.709579e-7,0.000004972382,0.01811219,0.9584578,0.001060302],"study_design_scores_gemma":[0.0000760361,0.00007148615,0.00002039495,0.00004292369,0.00004789048,4.508381e-7,0.0003564407,0.000001781567,3.345902e-7,0.00004046151,0.9991138,0.0002279719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006043613,0.03646379,0.00001514023,0.0002210145,0.01053255,0.00027642,0.00005172442,0.0001566301,0.9522767],"genre_scores_gemma":[0.0001340268,0.001435617,0.0001049393,0.001017061,0.00257092,0.00002942978,0.000005136674,0.0001436607,0.9945592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04228252,"threshold_uncertainty_score":0.9995919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787468068283148,"score_gpt":0.2001028795250464,"score_spread":0.172228198842215,"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."}}