{"id":"W6888764476","doi":"10.22008/fk2/cs5lka/ffws5s","title":"reca4sht.rtl","year":2022,"lang":"en","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":[0.001049411,0.002460582,0.002003823,0.004663128,0.0007448852,0.003141477,0.003489852,0.002216353,0.2594614],"category_scores_gemma":[0.005953166,0.001313719,0.001462404,0.009656458,0.0004620444,0.001716437,0.001942166,0.001799492,0.2870934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368352,"about_ca_system_score_gemma":0.002359695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04549517,"about_ca_topic_score_gemma":0.0627553,"domain_scores_codex":[0.9988781,0.0001896705,0.0001331166,0.0003504639,0.0002326025,0.0002160576],"domain_scores_gemma":[0.9976256,0.0007137501,0.0002016143,0.0006358374,0.0006420939,0.0001811217],"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":[0.00002648828,0.000005934139,0.0002154117,0.0004195633,0.0000186193,0.000008485197,0.00001411201,0.000184308,0.0000320978,0.0003224789,0.9978352,0.0009172485],"study_design_scores_gemma":[0.0001596661,0.000007337234,0.001262959,0.0001823248,0.00002241969,0.00002412608,0.00005265491,0.0002283265,0.0001389666,0.000828025,0.9970731,0.00002007062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002896486,0.00002212149,0.00003533827,0.00002429753,0.00001012255,0.000002708173,0.9990789,0.0002765277,0.0005209993],"genre_scores_gemma":[0.0001819173,0.00003320682,0.0001713368,0.00002451809,0.000004904966,0.00003481834,0.998448,0.0002349363,0.0008663479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7405386,"threshold_uncertainty_score":0.8679849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812052949556295,"score_gpt":0.2793890565743234,"score_spread":0.2312685270787605,"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."}}