{"id":"W6907575939","doi":"10.22008/fk2/cs5lka/qnhblk","title":"c50an2.rtl","year":2022,"lang":"gd","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":[0.001002213,0.002720404,0.001951839,0.004505781,0.0008598882,0.003027261,0.003743832,0.002380717,0.2472712],"category_scores_gemma":[0.005360885,0.001225825,0.001434138,0.009514865,0.0005412509,0.001495488,0.001974158,0.001861141,0.2876174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615349,"about_ca_system_score_gemma":0.002918293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0665253,"about_ca_topic_score_gemma":0.09353096,"domain_scores_codex":[0.9990289,0.000161108,0.00008725649,0.000310423,0.0002017872,0.0002104706],"domain_scores_gemma":[0.9981114,0.0004957769,0.0001468714,0.0005188463,0.0005357696,0.0001913454],"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":[0.00002023333,0.000004721656,0.0001523682,0.0002521245,0.00001392384,0.000005499388,0.000008496834,0.000185843,0.00002777902,0.0002571887,0.9984207,0.0006512587],"study_design_scores_gemma":[0.0002147506,0.000007922427,0.001344121,0.0001810273,0.00002436092,0.00002154611,0.00004185448,0.0003574392,0.0001465376,0.001028979,0.9966084,0.00002314931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002388406,0.00001687457,0.00003312932,0.00002556784,0.00001124465,0.000003200046,0.9991102,0.0002749892,0.0005009684],"genre_scores_gemma":[0.0001647113,0.00002744934,0.000169978,0.00002954612,0.000004916901,0.00003176382,0.9987112,0.0002204261,0.0006399557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7527288,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610757814897802,"score_gpt":0.2769672454181242,"score_spread":0.2308596672691461,"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."}}