{"id":"W6909107799","doi":"10.34992/5qxz-rw78","title":"Lake Winnipeg Outline","year":2023,"lang":"en","type":"dataset","venue":"UMANCEOS","topic":"Historical and Cultural Studies of Poland","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Feature (linguistics); Fishing; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000464906,0.0002459524,0.0003451003,0.00004549742,0.0005065755,0.00009404659,0.0002960807,0.00009224262,0.00499952],"category_scores_gemma":[0.00003477341,0.0001709469,0.0001293828,0.00003168484,0.0001709406,0.00005554036,0.0001102907,0.0002866242,0.03537095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004070767,"about_ca_system_score_gemma":0.00001206257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644319,"about_ca_topic_score_gemma":0.1210778,"domain_scores_codex":[0.9989706,0.00001281607,0.0002282531,0.000268841,0.0002402424,0.0002791932],"domain_scores_gemma":[0.9994824,0.0000317062,0.00009798587,0.0002545136,0.00007035572,0.00006302783],"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":[0.000005301629,0.00002992792,6.977812e-7,0.00008004232,0.00005358354,0.00002350001,0.0006315448,1.663599e-7,6.601645e-8,0.0004527179,0.9983404,0.0003820604],"study_design_scores_gemma":[0.000135639,0.0000556306,0.000008153547,0.00004970942,0.00004955511,6.782757e-7,0.0001602504,2.951953e-7,5.829673e-8,0.0001360077,0.9991359,0.0002682002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006375031,0.000780593,7.83738e-8,0.0004801495,0.003647089,0.0001233105,0.9857556,0.0001433683,0.0090635],"genre_scores_gemma":[0.000003772285,0.000378218,0.000001239987,0.0003644409,0.004973855,0.00003715089,0.8173953,0.00001621193,0.1768298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1683602,"threshold_uncertainty_score":0.99591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162042303121635,"score_gpt":0.2368751542759118,"score_spread":0.1952547312446955,"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."}}