{"id":"W6907506078","doi":"10.22008/fk2/cs5lka/tnbndg","title":"w50tfbw5.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":[],"category_scores_codex":[0.00087601,0.002733893,0.00208909,0.004298951,0.0007379745,0.002888135,0.003342087,0.002363629,0.2193765],"category_scores_gemma":[0.005233946,0.001273393,0.001198289,0.0102743,0.0004784065,0.002052515,0.001983936,0.001846782,0.2723532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290299,"about_ca_system_score_gemma":0.001988364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04955494,"about_ca_topic_score_gemma":0.06490582,"domain_scores_codex":[0.9991096,0.0001581517,0.00009733698,0.0002819046,0.0001714763,0.0001815117],"domain_scores_gemma":[0.9984932,0.0004329933,0.0001264891,0.0003910272,0.0003996346,0.0001566706],"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":[0.00002399316,0.000006627103,0.0001796863,0.0003111964,0.00001486064,0.000007484839,0.00001441511,0.0002135263,0.00003039256,0.0003516672,0.9978949,0.0009513827],"study_design_scores_gemma":[0.000178316,0.000008912952,0.00145483,0.0002239258,0.00001891737,0.0000234195,0.00006810249,0.0003804666,0.0001555196,0.001506332,0.995958,0.00002317933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002889551,0.00002176707,0.00004407514,0.00002199529,0.0000106213,0.000002826649,0.9991248,0.0002619546,0.000483005],"genre_scores_gemma":[0.0001564641,0.00003137978,0.0001519974,0.00001965057,0.00000404005,0.00003179455,0.9988667,0.0001582533,0.0005797705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7806234,"threshold_uncertainty_score":0.7338877,"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."}}