{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001559538,0.0003600368,0.0001625753,0.001161694,0.0009062846,0.001726917,0.0002767348,0.0005826126,0.3443086],"category_scores_gemma":[0.0004117211,0.00009363967,0.00006375487,0.001783232,0.0004617029,0.0008588196,0.000972581,0.0006552335,0.1506576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099307,"about_ca_system_score_gemma":0.0007953543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009971634,"about_ca_topic_score_gemma":0.02258432,"domain_scores_codex":[0.9998704,0.00001663234,0.000004340575,0.00003355105,0.00004588072,0.00002924756],"domain_scores_gemma":[0.9998324,0.00002531677,0.00001519235,0.0000115483,0.00005476606,0.00006091526],"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":[0.00003761726,0.00001763748,0.0007090286,0.0002879781,0.000001014912,0.0001985693,0.0001719253,0.00003661834,0.000340317,0.007363356,0.8040514,0.1867845],"study_design_scores_gemma":[0.000001166259,0.00000404274,0.0008417511,0.00006670506,2.584418e-7,0.00008479024,0.00007546595,0.000007828265,0.00003124087,0.0001839716,0.9987019,9.380851e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002945388,0.01489221,0.0001321273,0.005640727,0.00289776,0.00002072595,0.00183059,0.0003208934,0.9713196],"genre_scores_gemma":[0.01179724,0.007578546,0.0001753129,0.001110721,0.0005228583,0.00002079804,0.0007335711,0.00009516356,0.9779658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3443086,"threshold_uncertainty_score":0.9352641,"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."}}