{"id":"W7130957363","doi":"10.25549/garland-ouc11399mect","title":"James Matthew Barrie, letter, 1922-06-09, to Hamlin Garland","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Government (linguistics); Subject (documents)","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":[],"consensus_categories":[],"category_scores_codex":[0.001102164,0.00134853,0.001569343,0.003339858,0.001621478,0.005068838,0.001728505,0.002148016,0.2885399],"category_scores_gemma":[0.00926389,0.0006699839,0.0006072529,0.008051995,0.0004524694,0.003260901,0.002319488,0.001989334,0.4660116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131087,"about_ca_system_score_gemma":0.002761917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0659877,"about_ca_topic_score_gemma":0.177273,"domain_scores_codex":[0.9989919,0.0001384477,0.0001055271,0.0002455749,0.0003513102,0.0001672443],"domain_scores_gemma":[0.996761,0.0008199831,0.000252152,0.0003992107,0.001326519,0.0004411245],"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":[0.000007784184,0.000001051367,0.00006753932,0.00002668605,8.803211e-7,0.000002312753,0.000002919297,0.000006466111,0.000002619585,0.00005077809,0.9993535,0.000477437],"study_design_scores_gemma":[0.00002713282,0.000003049945,0.0008916035,0.00008415674,0.000002402446,0.000008753607,0.00006178213,0.00005060267,0.00003305357,0.0002353296,0.9985935,0.000008588408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009383186,0.0002637031,0.00005535473,0.001215083,0.0003357481,0.000009357124,0.9897286,0.0004802304,0.007818145],"genre_scores_gemma":[0.0007149993,0.0003586316,0.0001865653,0.0009231184,0.0001090231,0.00007224715,0.9658514,0.0003891256,0.03139498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2885399,"threshold_uncertainty_score":0.9652621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006732406483173235,"score_gpt":0.165835874017896,"score_spread":0.1591034675347228,"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."}}