{"id":"W6907590543","doi":"10.22008/fk2/wp1tr3/esgccq","title":"w50z10bw1.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":[0.0008538312,0.002541355,0.002106141,0.003891457,0.0007037987,0.002819695,0.003179053,0.002036118,0.2146586],"category_scores_gemma":[0.004755514,0.00135193,0.001055531,0.009878526,0.0004468999,0.001949341,0.001934776,0.001724082,0.2510154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246341,"about_ca_system_score_gemma":0.002059195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06279275,"about_ca_topic_score_gemma":0.08678315,"domain_scores_codex":[0.9991775,0.0001397215,0.00008871336,0.0002577933,0.0001619927,0.0001741689],"domain_scores_gemma":[0.9986192,0.0003715484,0.000135607,0.0003228519,0.0004068896,0.0001439419],"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":[0.00002350396,0.000006452367,0.0002402968,0.0003146552,0.00001647305,0.00000707135,0.00001550543,0.0002231336,0.00002803591,0.000381958,0.9977669,0.0009761232],"study_design_scores_gemma":[0.0001811711,0.000008498735,0.001919157,0.0002315179,0.00002002575,0.00001950087,0.00007642525,0.0003628107,0.0001435809,0.00137387,0.9956391,0.00002423795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002779056,0.00002001289,0.00003912954,0.00002123728,0.00001081705,0.000002626267,0.9992222,0.0001752529,0.0004809911],"genre_scores_gemma":[0.0001884734,0.00003657478,0.0001599032,0.00002122659,0.000004613921,0.00003818199,0.998576,0.000154283,0.0008208203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7853414,"threshold_uncertainty_score":0.7181046,"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."}}