{"id":"W6963925117","doi":"10.22008/fk2/wp1tr3/gv5ykj","title":"wz10a4.rtl","year":2021,"lang":"fr","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":[0.0009276638,0.00309794,0.002417786,0.004904258,0.0007916832,0.003149506,0.003983091,0.002458638,0.2192465],"category_scores_gemma":[0.005555396,0.001467779,0.001381209,0.01142392,0.0005045547,0.002195995,0.002291272,0.002010478,0.280796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226737,"about_ca_system_score_gemma":0.002038128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05004033,"about_ca_topic_score_gemma":0.06514855,"domain_scores_codex":[0.9990658,0.0001604854,0.00009813035,0.0002861434,0.0001835836,0.0002059414],"domain_scores_gemma":[0.9983607,0.0004612081,0.0001511807,0.0004438734,0.0004137783,0.0001692223],"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":[0.0000235661,0.000006908975,0.0002092353,0.0003048535,0.00001766531,0.00000761089,0.00001561381,0.0002221909,0.00003283848,0.0003487938,0.9977836,0.001027148],"study_design_scores_gemma":[0.0002177808,0.0000108425,0.001673046,0.0002038002,0.00002223787,0.00002249348,0.00007599974,0.0004454312,0.0001702256,0.001586896,0.9955437,0.00002768664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002761409,0.00001961272,0.00004448766,0.00002413073,0.00001116303,0.000002996236,0.9991415,0.0003097591,0.0004187182],"genre_scores_gemma":[0.0001677528,0.00003049885,0.0001638709,0.00001984765,0.00000527478,0.00004148975,0.9987392,0.0001886569,0.0006434328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7807535,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658591924462772,"score_gpt":0.2760015378771337,"score_spread":0.229415618632506,"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."}}