{"id":"W6888793254","doi":"10.22008/fk2/kgwsma/fa5kvn","title":"NUUKVG.GRD","year":2022,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000903613,0.002666599,0.002081361,0.004808947,0.0007076362,0.003682893,0.002925748,0.002094913,0.2236994],"category_scores_gemma":[0.00433474,0.00116606,0.001136333,0.009846174,0.0004871078,0.001778322,0.002394546,0.001671136,0.3126875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298322,"about_ca_system_score_gemma":0.002091531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03875719,"about_ca_topic_score_gemma":0.05835699,"domain_scores_codex":[0.9990656,0.0001653417,0.0001013686,0.000312644,0.0001957941,0.0001592934],"domain_scores_gemma":[0.9985781,0.0003543583,0.0001259291,0.0004155772,0.0003785332,0.0001475377],"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":[0.0000251991,0.000006112688,0.000191315,0.0003472477,0.00001535377,0.000007168504,0.00001670371,0.0001827631,0.00003006977,0.000466872,0.9974305,0.001280689],"study_design_scores_gemma":[0.0001018254,0.000006186343,0.001036714,0.0001944456,0.0000168127,0.00001956951,0.00004560047,0.000214859,0.00009673138,0.001052609,0.9971979,0.0000166449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002989627,0.00003432881,0.00004233487,0.00002308784,0.00001263887,0.000003170371,0.9986441,0.0003071994,0.0009032882],"genre_scores_gemma":[0.0001530823,0.00004676991,0.0001924787,0.00002148354,0.000004099481,0.00002964075,0.9983969,0.0001768033,0.0009786743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7763006,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04478555711847758,"score_gpt":0.2778444738892356,"score_spread":0.233058916770758,"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."}}