{"id":"W6963841534","doi":"10.22008/fk2/cs5lka/znp9rd","title":"rempro.001","year":2022,"lang":"es","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":[0.001478048,0.003288134,0.00222788,0.00425928,0.0009414734,0.003369151,0.003858988,0.002246562,0.2458156],"category_scores_gemma":[0.006433687,0.001289044,0.001723348,0.00800008,0.0005240479,0.00190805,0.00235164,0.002102594,0.3544897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105525,"about_ca_system_score_gemma":0.001994969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331086,"about_ca_topic_score_gemma":0.04183172,"domain_scores_codex":[0.9988802,0.0002345024,0.0001091046,0.0003913667,0.0002081735,0.0001767398],"domain_scores_gemma":[0.9980034,0.0006423937,0.0001528439,0.0005711111,0.0004624805,0.0001677015],"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":[0.00002357567,0.000006952699,0.0001487619,0.0003052577,0.00001738426,0.000007146239,0.00001418678,0.0001682179,0.00003733614,0.0003207712,0.9977674,0.001182961],"study_design_scores_gemma":[0.0001871975,0.000009689525,0.001029658,0.0001645814,0.00002422847,0.00002928685,0.00004480476,0.0002616547,0.0001576965,0.001453517,0.9966173,0.00002038891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003643804,0.00003497345,0.00007401888,0.00003208267,0.0000154902,0.000003564051,0.9984755,0.0006359443,0.0006920528],"genre_scores_gemma":[0.0001713902,0.00004363794,0.0003850882,0.00003449682,0.000007874769,0.0000432565,0.9979342,0.0003564714,0.001023602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7541844,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290206898191243,"score_gpt":0.2780681831502992,"score_spread":0.2351661141683868,"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."}}