{"id":"W6926462505","doi":"10.22008/fk2/cs5lka/ww3tow","title":"w50tfbw2.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":[0.0009148839,0.002900297,0.00216705,0.004373632,0.0007615209,0.003055387,0.003535972,0.002512467,0.2159108],"category_scores_gemma":[0.005475549,0.00131724,0.001253216,0.01051282,0.0004952736,0.002149414,0.002110163,0.001975107,0.2786061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287413,"about_ca_system_score_gemma":0.002005896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04744786,"about_ca_topic_score_gemma":0.06192971,"domain_scores_codex":[0.9990675,0.0001672057,0.00009793642,0.0002970007,0.0001865806,0.0001838041],"domain_scores_gemma":[0.9983919,0.0004794061,0.0001295246,0.0004204697,0.0004137279,0.0001650172],"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":[0.00002317431,0.000006640791,0.0001682965,0.0002942422,0.00001466567,0.000007588782,0.00001397782,0.000215131,0.00003001092,0.0003240018,0.998005,0.0008973773],"study_design_scores_gemma":[0.0001850121,0.000008848902,0.0013807,0.0002156233,0.00001923536,0.00002409987,0.00006734231,0.0004317195,0.0001575393,0.001548651,0.9959368,0.00002457808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002817581,0.00002058388,0.00004549832,0.00002357617,0.00001080652,0.000002804256,0.9991098,0.0002890393,0.0004697397],"genre_scores_gemma":[0.0001476464,0.00003016441,0.000154537,0.00001947969,0.000004221861,0.00003336878,0.9988735,0.0001744869,0.0005624434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7840892,"threshold_uncertainty_score":0.7222935,"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."}}