{"id":"W6926146821","doi":"10.22008/fk2/cs5lka/o2mgdo","title":"w50tfbw4.rtl","year":2022,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Mathematical Dynamics and Fractals","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006262943,0.001060719,0.002859028,0.0002421211,0.0004822681,0.0001201179,0.001233104,0.001231589,0.1310931],"category_scores_gemma":[0.005798731,0.0008025822,0.0004435447,0.0005920945,0.0007859601,0.00009367811,0.002013643,0.001639675,0.0002724802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005423832,"about_ca_system_score_gemma":0.0001235929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002478563,"about_ca_topic_score_gemma":0.002043007,"domain_scores_codex":[0.9923425,0.002040986,0.002057231,0.00125292,0.001218805,0.001087567],"domain_scores_gemma":[0.9874696,0.008964773,0.00129915,0.001405396,0.0003018038,0.0005593474],"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":[0.001225507,0.003898946,0.0860948,0.006804507,0.001360956,0.0005334,0.0001929706,0.0000131511,0.00000843188,0.007973822,0.8834024,0.008491081],"study_design_scores_gemma":[0.004087676,0.00379262,0.3882685,0.0006864799,0.001565064,0.0003657535,0.0001820668,0.003998124,0.000004649667,0.154363,0.4389505,0.003735547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1011638,0.002516929,0.001010821,0.00027882,0.0006660149,0.001293019,0.8906571,0.00004725119,0.002366164],"genre_scores_gemma":[0.07461873,0.00996212,0.002685109,0.00075416,0.0003890522,0.0001897146,0.904049,0.0001739177,0.007178164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4444519,"threshold_uncertainty_score":0.9994425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05658721953302822,"score_gpt":0.298972113183727,"score_spread":0.2423848936506988,"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."}}