{"id":"W2559744188","doi":"10.1594/pangaea.861733","title":"Database of Ice-Rich Yedoma Permafrost (IRYP)","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Permafrost; Database; Geology; Physical geography; Earth science; Geography; Computer science; Oceanography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007192137,0.0003466958,0.0004206425,0.0001593851,0.0001039313,0.00006172155,0.0008097321,0.0002985081,0.9570524],"category_scores_gemma":[0.0004928447,0.0002534588,0.000128724,0.0001922768,0.00002563631,0.0002318537,0.0001104776,0.0002788582,0.04077488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000638679,"about_ca_system_score_gemma":0.0001350075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363518,"about_ca_topic_score_gemma":0.0183808,"domain_scores_codex":[0.9982598,0.00006071992,0.0003542081,0.0004528288,0.0004301567,0.0004422485],"domain_scores_gemma":[0.9980271,0.0005392287,0.0003023331,0.0008269588,0.0001072663,0.0001970856],"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":[0.00001948826,0.00001536706,0.0005394288,0.0008153655,0.00001952351,0.00008682229,0.00001847435,7.679493e-7,0.000009204219,4.729103e-8,0.9980018,0.0004737064],"study_design_scores_gemma":[0.0002104118,0.00006844848,0.004055582,0.002525255,0.00003023788,0.00001921805,0.00001752502,0.00001073973,0.00003629551,0.000002976145,0.9926586,0.0003647277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000275793,0.001832542,1.322329e-8,0.0000432455,0.00033537,0.0002273648,0.9964254,0.00002194707,0.001086548],"genre_scores_gemma":[0.00001680193,0.0003730884,0.000002934013,0.0002948789,0.000811881,0.00001104272,0.9981899,0.000009138163,0.0002902995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9162775,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06677343030975476,"score_gpt":0.2692029423871391,"score_spread":0.2024295120773844,"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."}}