{"id":"W6945031838","doi":"10.22008/fk2/cs5lka/o2pkgp","title":"w50z10_6.rtl","year":2021,"lang":"bpy","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":[0.0008279668,0.002603614,0.002224054,0.003942084,0.00071325,0.002881195,0.003276611,0.00218136,0.2315828],"category_scores_gemma":[0.004705821,0.001559101,0.00112217,0.009637133,0.0004797571,0.001957587,0.001963045,0.001852686,0.2567445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112842,"about_ca_system_score_gemma":0.001936786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04897359,"about_ca_topic_score_gemma":0.05351745,"domain_scores_codex":[0.9992031,0.0001283876,0.00007810157,0.0002526575,0.0001641902,0.0001736023],"domain_scores_gemma":[0.9986003,0.0003894084,0.0001369702,0.0003347912,0.0003760459,0.0001623781],"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":[0.00003455091,0.000008832731,0.0002717075,0.0003550264,0.00002134246,0.000008329604,0.00001660793,0.0002758315,0.0000395082,0.0003683314,0.997408,0.001192],"study_design_scores_gemma":[0.0002806752,0.00001434046,0.002953109,0.0002113028,0.00002442011,0.00002504297,0.00006640638,0.000492795,0.0002121653,0.001434608,0.9942527,0.00003235882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002901093,0.00001764096,0.00003628563,0.00001867491,0.0000110976,0.000002826654,0.9992031,0.0002774585,0.0004038722],"genre_scores_gemma":[0.0002292756,0.00003172961,0.0001611942,0.00002151939,0.000006380598,0.00004247135,0.9986307,0.0002085543,0.0006681832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7684172,"threshold_uncertainty_score":0.7747217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839997110904299,"score_gpt":0.2816380311352333,"score_spread":0.2332380600261903,"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."}}