{"id":"W7104569862","doi":"10.25549/gar-c81-2989","title":"James Matthew Barrie, letter, 1922-02-27, 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); Ridiculous; Government (linguistics)","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":[0.001062664,0.001096808,0.001295879,0.003274329,0.001573296,0.004520455,0.001387361,0.001917849,0.3015482],"category_scores_gemma":[0.00959844,0.0006782342,0.000456605,0.008059052,0.0003944532,0.003111189,0.002005124,0.001882362,0.4221104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099505,"about_ca_system_score_gemma":0.00288624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06961433,"about_ca_topic_score_gemma":0.1585092,"domain_scores_codex":[0.9990488,0.0001232976,0.00009814553,0.0002313113,0.0003345323,0.0001639178],"domain_scores_gemma":[0.9967576,0.0009234368,0.0002722948,0.0003617627,0.001269589,0.0004153037],"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":[0.000008984825,0.000001055311,0.00007798589,0.00002763193,7.951817e-7,0.000002474388,0.000004299454,0.000005131013,0.000002900723,0.00007080888,0.9992343,0.0005635939],"study_design_scores_gemma":[0.00002145148,0.000002534927,0.001070402,0.00008700429,0.000001781622,0.000006445654,0.00007068375,0.00002709829,0.00002960807,0.0002068723,0.9984687,0.000007333063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001139431,0.0002920821,0.00006111727,0.001366017,0.0003323104,0.00001056307,0.9867994,0.0003566997,0.01066788],"genre_scores_gemma":[0.001138816,0.0005376263,0.0002272713,0.001315043,0.000144916,0.0001094319,0.935626,0.0005155585,0.06038542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3015482,"threshold_uncertainty_score":0.9962566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006445451384529056,"score_gpt":0.164258449806804,"score_spread":0.1578129984222749,"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."}}