{"id":"W6963814245","doi":"10.22008/fk2/orktcu/pkrca3","title":"readme.txt","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001065117,0.003354553,0.00224192,0.004193955,0.001056337,0.004323196,0.003748096,0.002854565,0.3978951],"category_scores_gemma":[0.006587684,0.001486581,0.001453944,0.009423654,0.0005236107,0.00383829,0.00305103,0.002481179,0.4687621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368889,"about_ca_system_score_gemma":0.001794873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0282963,"about_ca_topic_score_gemma":0.04181946,"domain_scores_codex":[0.9989371,0.0001933048,0.0001101838,0.0003821848,0.0001824277,0.0001948745],"domain_scores_gemma":[0.9973053,0.0009556659,0.0001674526,0.0007111042,0.0006306839,0.0002297936],"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":[0.00002039618,0.000005776905,0.0001008974,0.0002114325,0.000007571398,0.000004835054,0.0000127421,0.00008264714,0.0000162788,0.0002339449,0.9985555,0.0007479372],"study_design_scores_gemma":[0.0001341062,0.00000877677,0.0009315599,0.0001680846,0.00001141754,0.00001599731,0.00006053079,0.0002106489,0.0001270134,0.001544156,0.9967667,0.00002100404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001762923,0.00001342015,0.00003408172,0.00003285744,0.00001367286,0.000003031595,0.9985719,0.000548319,0.0007651913],"genre_scores_gemma":[0.0001547715,0.00002820195,0.0001696936,0.00003946655,0.000008586366,0.00003833096,0.9982028,0.0004075627,0.0009505129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6021049,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0482498158032769,"score_gpt":0.2825383518881494,"score_spread":0.2342885360848725,"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."}}