{"id":"W6963908332","doi":"10.22008/fk2/cs5lka/s27i4x","title":"c50vgbw2.rtl","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":[0.0009706471,0.003681824,0.002605559,0.004675379,0.0009380602,0.003394946,0.004424069,0.003090491,0.203765],"category_scores_gemma":[0.005147771,0.001420568,0.001538738,0.0110167,0.0005942063,0.002282136,0.002220092,0.002241972,0.2805382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525839,"about_ca_system_score_gemma":0.002261578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05912103,"about_ca_topic_score_gemma":0.07866643,"domain_scores_codex":[0.9989601,0.000172316,0.00009213598,0.0003531327,0.0002146312,0.0002076473],"domain_scores_gemma":[0.9983771,0.0004591097,0.0001111635,0.0004545678,0.0004373146,0.0001608485],"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":[0.00002226499,0.000006282039,0.0001479651,0.0002821455,0.00001584683,0.00000678997,0.00001222925,0.0002594041,0.00002796677,0.0002600613,0.9981446,0.0008143713],"study_design_scores_gemma":[0.0001999553,0.000008686136,0.00129931,0.000239813,0.00002466618,0.00002845319,0.00006058273,0.0006196904,0.0001791761,0.001560086,0.9957467,0.00003290008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002828555,0.00002616612,0.00004569509,0.00002281531,0.00001166262,0.000003062867,0.9989623,0.0004516891,0.0004482612],"genre_scores_gemma":[0.0001318575,0.00002880006,0.0001685604,0.00001910915,0.000003887731,0.00002841281,0.9990112,0.0002183858,0.0003897862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.796235,"threshold_uncertainty_score":0.6816619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544896098372598,"score_gpt":0.2798110514549344,"score_spread":0.2343620904712084,"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."}}