{"id":"W6964049769","doi":"10.22008/fk2/cs5lka/yxtud2","title":"wtfa4.rtl","year":2021,"lang":"es","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":[0.001010327,0.003583422,0.002466875,0.004818033,0.0007821661,0.003167398,0.003854316,0.002822512,0.2290268],"category_scores_gemma":[0.005579497,0.001386224,0.001812239,0.009509717,0.0005114517,0.002068332,0.002201286,0.00224395,0.3008448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321466,"about_ca_system_score_gemma":0.002066169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03712651,"about_ca_topic_score_gemma":0.04678332,"domain_scores_codex":[0.9989583,0.0001907017,0.0001119843,0.0003229896,0.0002070097,0.000209075],"domain_scores_gemma":[0.9982631,0.0004972569,0.0001401178,0.0005023826,0.0004311548,0.0001661429],"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":[0.00003124958,0.00000810535,0.0001709255,0.0002961162,0.00001901374,0.000007358963,0.00001004599,0.0002525662,0.00003151763,0.0003053289,0.9979271,0.0009407663],"study_design_scores_gemma":[0.0003203312,0.00001505729,0.001685286,0.0002759671,0.0000312756,0.00003485095,0.00006432373,0.000649376,0.0002180735,0.001982942,0.9946897,0.00003292222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000262515,0.00002160527,0.00003750483,0.00002367781,0.00001370436,0.00000263716,0.9991615,0.0003392686,0.0003738597],"genre_scores_gemma":[0.0001543956,0.00002874605,0.0001510374,0.00002151368,0.000005642028,0.0000303273,0.9988707,0.0001679171,0.0005697526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7709732,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286347100966494,"score_gpt":0.2802737667820656,"score_spread":0.2374102957724006,"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."}}