{"id":"W7131091844","doi":"10.25549/garland-ouc11399n1uw","title":"Archibald Lampman, letter, 1889-04-25, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025767,0.001013002,0.001181211,0.003204722,0.00155252,0.005157937,0.001410624,0.001714666,0.3791826],"category_scores_gemma":[0.009748838,0.0007094057,0.0005448872,0.008446238,0.000421948,0.003263434,0.001751711,0.001915702,0.46321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651582,"about_ca_system_score_gemma":0.004232614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1072811,"about_ca_topic_score_gemma":0.2256226,"domain_scores_codex":[0.9991266,0.0001137236,0.00008407264,0.0001805444,0.0003249034,0.0001700974],"domain_scores_gemma":[0.9960235,0.0009745872,0.0002776403,0.0004697983,0.001840234,0.0004142197],"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":[0.000006729832,7.82741e-7,0.00007632924,0.0000234128,7.213769e-7,0.000001790124,0.000003138244,0.000005546515,0.00000202324,0.0001221275,0.9991374,0.0006199892],"study_design_scores_gemma":[0.0000195236,0.000001733236,0.0009722559,0.00007673772,0.000001882496,0.000006249758,0.00004958143,0.00002864377,0.0000274858,0.0002865414,0.9985226,0.000006731075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008828926,0.0002170701,0.0000604825,0.001241502,0.0002501125,0.000008247955,0.9817402,0.000481375,0.01591267],"genre_scores_gemma":[0.001044488,0.0004984738,0.0002666683,0.001106151,0.000108624,0.0000931973,0.9304954,0.0007465158,0.06564051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3791826,"threshold_uncertainty_score":0.8855206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007939470155320174,"score_gpt":0.1681652811134079,"score_spread":0.1602258109580878,"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."}}