{"id":"W7104557828","doi":"10.25549/gar-c81-1144","title":"Mary L. Akeley, letter, 1928, 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":"Natural (archaeology); Historical record; Natural history; Quarter (Canadian coin)","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":[0.0007387904,0.0009129407,0.0009900508,0.003765208,0.001265061,0.003847166,0.001086539,0.001341782,0.3150789],"category_scores_gemma":[0.008374738,0.0005786408,0.0003813019,0.009939739,0.0003363674,0.002550327,0.001605057,0.001477221,0.3721015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391263,"about_ca_system_score_gemma":0.002136746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05183845,"about_ca_topic_score_gemma":0.1129206,"domain_scores_codex":[0.9994149,0.00006420854,0.00007030836,0.0001474216,0.0002181599,0.00008497499],"domain_scores_gemma":[0.9974262,0.0007616928,0.000231501,0.0002363715,0.001080521,0.0002636905],"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":[0.000008156888,0.000001019704,0.0001231783,0.00004252595,8.268184e-7,0.000003472534,0.000006156572,0.00000573981,0.000003176621,0.0000649226,0.9986936,0.001047089],"study_design_scores_gemma":[0.00001890388,0.000002202326,0.001157752,0.0001057835,0.000001817898,0.000007661245,0.00009489042,0.00002340273,0.00002359089,0.0002064995,0.9983525,0.000005081848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001513094,0.0003681872,0.00005140573,0.00103582,0.0002376528,0.00001177107,0.9886034,0.0002549117,0.009285589],"genre_scores_gemma":[0.001328763,0.0009136414,0.0002954775,0.001105341,0.0001513601,0.0001613254,0.944929,0.0004141948,0.05070087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3150789,"threshold_uncertainty_score":0.9769568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006606801003150898,"score_gpt":0.1611556990214046,"score_spread":0.1545488980182537,"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."}}