{"id":"W6923832743","doi":"10.14288/1.0424344","title":"J.Fred. Hume &amp; Co.","year":2023,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archivist; Brother; Parliament; Front (military); Portrait; Margin (machine learning)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000129391,0.0007647864,0.0002066996,0.0006445555,0.002823902,0.002658355,0.0005732193,0.001331655,0.7188278],"category_scores_gemma":[0.00052358,0.0003045587,0.0001662111,0.0006942449,0.00046435,0.001652529,0.001371414,0.001086113,0.5950548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307727,"about_ca_system_score_gemma":0.0008866146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361438,"about_ca_topic_score_gemma":0.06689313,"domain_scores_codex":[0.9998316,0.00001059615,0.000003250145,0.00004777114,0.00007024555,0.0000366663],"domain_scores_gemma":[0.9998248,0.00001254278,0.000007409477,0.00001243307,0.00008061608,0.00006224563],"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":[0.000009627057,0.000006863652,0.00005895398,0.00002014848,3.042706e-7,0.00005452133,0.00005804436,0.00001457707,0.0001263129,0.001661677,0.9697177,0.02827128],"study_design_scores_gemma":[5.603275e-7,0.000001470691,0.0001287722,0.000008025652,1.450772e-7,0.00003011921,0.00005562646,0.000009184894,0.00002371651,0.00005525003,0.999686,9.999612e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003247749,0.0009833549,0.0002278834,0.001971419,0.001110565,0.00002573592,0.0005514618,0.0003242875,0.9944804],"genre_scores_gemma":[0.0008018657,0.0001796685,0.00006302652,0.0002896602,0.0000410636,0.000005993617,0.0001107142,0.00004958155,0.9984584],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7188278,"threshold_uncertainty_score":0.401058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05736727034672258,"score_gpt":0.3473707817076959,"score_spread":0.2900035113609733,"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."}}