{"id":"W6907336546","doi":"10.22008/fk2/kgwsma/tstbhp","title":"NUUK1.ARC","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":[0.0009330889,0.003184863,0.002387628,0.00514563,0.001003056,0.003373371,0.003741561,0.002261219,0.2199784],"category_scores_gemma":[0.004375609,0.001477175,0.001325209,0.01162489,0.0005347497,0.002574529,0.002531688,0.002132243,0.279383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542344,"about_ca_system_score_gemma":0.002165021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04666591,"about_ca_topic_score_gemma":0.06665689,"domain_scores_codex":[0.9989967,0.0001815632,0.00009762662,0.0003403718,0.0001829773,0.0002008051],"domain_scores_gemma":[0.9983639,0.0004346088,0.0001475973,0.0004602628,0.0004165232,0.0001770678],"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":[0.00002626032,0.000007050479,0.0001923852,0.0003744737,0.00001373068,0.00000699658,0.0000197384,0.0001904945,0.00002778225,0.0005100826,0.9976087,0.001022259],"study_design_scores_gemma":[0.0001265469,0.000007468081,0.001167221,0.0002125559,0.0000162572,0.00002189002,0.00006403533,0.0002838708,0.0001333183,0.001255893,0.9966897,0.00002125878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000028866,0.00003479594,0.00004229271,0.00002422208,0.00001181683,0.000002776015,0.9987748,0.0003873525,0.0006931459],"genre_scores_gemma":[0.0001770246,0.00005121471,0.0001905274,0.00002349626,0.000004867004,0.00003367216,0.9985404,0.0002295334,0.000749192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7800217,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601385240461275,"score_gpt":0.2802682062717861,"score_spread":0.2342543538671733,"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."}}