{"id":"W6888799419","doi":"10.22008/fk2/wp1tr3/gl8tdb","title":"c250tfbw.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":["insufficient_payload"],"category_scores_codex":[0.0009249225,0.003104399,0.002320217,0.004633658,0.0008392168,0.003259991,0.004166543,0.002519747,0.2994874],"category_scores_gemma":[0.005668147,0.001325204,0.001312576,0.01080984,0.0005390725,0.002247133,0.002292859,0.002021058,0.3883851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488217,"about_ca_system_score_gemma":0.002042173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04506257,"about_ca_topic_score_gemma":0.0532354,"domain_scores_codex":[0.9989994,0.0001669945,0.00009983934,0.0003277748,0.0002021347,0.0002039167],"domain_scores_gemma":[0.9981232,0.0005342091,0.0001327681,0.0005177323,0.000503826,0.0001882985],"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":[0.0000207459,0.000005572118,0.0001012618,0.0002412698,0.00001008712,0.000005394895,0.000009987727,0.0001681011,0.00002607226,0.0002663898,0.9983297,0.0008154685],"study_design_scores_gemma":[0.0001611407,0.000007332455,0.0009084118,0.0001778207,0.00001407753,0.00002172906,0.00004671831,0.0003604361,0.0001570606,0.001332849,0.9967895,0.00002288133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002163221,0.00001821213,0.00004560919,0.00002095083,0.00001018073,0.000002995598,0.9988878,0.0004396244,0.0005530156],"genre_scores_gemma":[0.0001228527,0.0000270664,0.000165664,0.00002005721,0.000004226858,0.00003324078,0.9987709,0.0002713278,0.0005847344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7005126,"threshold_uncertainty_score":0.9991962,"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."}}