{"id":"W6963569062","doi":"10.22008/fk2/wp1tr3/vwtcgr","title":"w50tf5.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":[],"consensus_categories":[],"category_scores_codex":[0.000881198,0.002806773,0.002061895,0.004147827,0.0007215614,0.00277235,0.003443527,0.002371533,0.2421687],"category_scores_gemma":[0.00523712,0.001241272,0.001278171,0.009603845,0.0004608817,0.002213805,0.001986496,0.001886379,0.2923278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248501,"about_ca_system_score_gemma":0.001885061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04504528,"about_ca_topic_score_gemma":0.06027572,"domain_scores_codex":[0.9990795,0.0001605617,0.0001032468,0.0002841274,0.000180425,0.0001921655],"domain_scores_gemma":[0.9983966,0.0004489525,0.0001346958,0.0004243399,0.0004294453,0.0001659909],"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":[0.0000231723,0.000006612796,0.0001586267,0.0002860643,0.00001333542,0.000006796337,0.00001151013,0.000202843,0.00002783215,0.0003274318,0.9980538,0.0008819913],"study_design_scores_gemma":[0.0001926761,0.00001025669,0.00137657,0.0002254733,0.00001791759,0.00002310452,0.00006141789,0.0004094344,0.0001598918,0.001550653,0.9959491,0.00002356303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002583308,0.00001935891,0.00004168462,0.00002259025,0.00001204997,0.000002899826,0.9990948,0.0002714422,0.0005093276],"genre_scores_gemma":[0.0001470313,0.00002797799,0.0001405973,0.00002133148,0.000004526564,0.00003043761,0.9988586,0.0001618063,0.0006076879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2421687,"threshold_uncertainty_score":0,"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."}}