{"id":"W6888806026","doi":"10.22008/fk2/wp1tr3/nxtqk0","title":"w50tft12.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":[0.0009302562,0.002874184,0.002226561,0.004317229,0.0007906955,0.00299147,0.003617094,0.002557778,0.2389171],"category_scores_gemma":[0.005648997,0.001350447,0.001331865,0.01034831,0.0005015599,0.0021605,0.002022262,0.001945022,0.2999045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296071,"about_ca_system_score_gemma":0.002109527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04992292,"about_ca_topic_score_gemma":0.06651385,"domain_scores_codex":[0.9990218,0.0001734647,0.0001049602,0.0003109103,0.00019366,0.0001953247],"domain_scores_gemma":[0.9982078,0.0005320645,0.0001417014,0.0004736749,0.0004678534,0.0001768494],"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":[0.00002262469,0.000006655801,0.0001631477,0.0002896374,0.00001387467,0.000007499952,0.0000133237,0.000209889,0.00002933036,0.0002957615,0.9980787,0.0008696214],"study_design_scores_gemma":[0.0002050928,0.000009948059,0.001410424,0.0002112924,0.00001985191,0.00002526116,0.00006716538,0.0004325433,0.0001606416,0.001444466,0.9959876,0.0000256024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002639803,0.00001842872,0.00004397673,0.00002255625,0.00001183145,0.000002857784,0.9991259,0.0002832964,0.0004647931],"genre_scores_gemma":[0.0001392464,0.00002745931,0.0001454001,0.00001964132,0.000004465745,0.00003329679,0.9988548,0.0001698715,0.0006058919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7610829,"threshold_uncertainty_score":0.7992573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453244511826948,"score_gpt":0.2797384722449982,"score_spread":0.2344140210623034,"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."}}