{"id":"W6907668721","doi":"10.22008/fk2/cs5lka/waqmeb","title":"w50ac6.rtl","year":2022,"lang":"bpy","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":[0.0008518695,0.002644325,0.002073816,0.004118047,0.0007141869,0.002806616,0.002960924,0.002079052,0.2428976],"category_scores_gemma":[0.004785894,0.001255547,0.001229776,0.009240527,0.0004431494,0.00165431,0.001802728,0.001836121,0.3004582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009171522,"about_ca_system_score_gemma":0.001836778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03454996,"about_ca_topic_score_gemma":0.04670422,"domain_scores_codex":[0.999172,0.0001393492,0.00007995707,0.0002678557,0.0001672781,0.0001736525],"domain_scores_gemma":[0.9984859,0.0003792921,0.0001423996,0.000411408,0.0004071362,0.0001739894],"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":[0.00002777786,0.000007147823,0.0001942471,0.0003006582,0.00001725935,0.000006892198,0.0000108777,0.0001952732,0.00004062996,0.0002456659,0.9979858,0.0009677353],"study_design_scores_gemma":[0.0002709539,0.00001386561,0.002223112,0.0001668369,0.00002763337,0.00002556244,0.00005002397,0.0004020331,0.000186539,0.001185319,0.9954236,0.00002443343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003149577,0.00001841029,0.00003953307,0.00001963387,0.00001140553,0.000003021928,0.9991463,0.0003240103,0.0004061869],"genre_scores_gemma":[0.0001826223,0.00002847217,0.0001643101,0.0000197746,0.000005804515,0.00002993874,0.99876,0.0001905627,0.0006186299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7571024,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04723147467160219,"score_gpt":0.2790960096048876,"score_spread":0.2318645349332854,"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."}}