{"id":"W4394278535","doi":"10.6084/m9.figshare.21257808.v3","title":"Supplementary materials","year":2022,"lang":"en","type":"dataset","venue":"University of Groningen research database (University of Groningen / Centre for Information Technology)","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"category_scores_codex":[0.00219883,0.001494941,0.001797523,0.003272858,0.001065377,0.003032688,0.002355919,0.001992321,0.5097983],"category_scores_gemma":[0.01643841,0.0007647962,0.001273317,0.005574633,0.0004609368,0.001305666,0.001679337,0.001645065,0.2450394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490633,"about_ca_system_score_gemma":0.003285185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009268713,"about_ca_topic_score_gemma":0.02089962,"domain_scores_codex":[0.9982134,0.0003440823,0.000303937,0.000555397,0.0003678434,0.0002153442],"domain_scores_gemma":[0.9925921,0.004168255,0.0005697049,0.001068242,0.001132762,0.0004689725],"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":[0.0002005389,0.00004227504,0.001322536,0.002426172,0.00009183642,0.0000595285,0.00002434096,0.0005518768,0.0002348043,0.0007742516,0.9868269,0.007444975],"study_design_scores_gemma":[0.0003865392,0.00004420837,0.003794593,0.0007161962,0.0001008742,0.0001516687,0.00005334633,0.0002717669,0.0003363534,0.003683042,0.9904299,0.0000313951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006046961,0.00005986581,0.0001236835,0.00003923651,0.00002523,0.0000193645,0.9990076,0.0001306415,0.00053387],"genre_scores_gemma":[0.0004281464,0.000115249,0.0006186877,0.0001588997,0.00001797534,0.0002046051,0.9968731,0.0001487613,0.001434677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4902017,"threshold_uncertainty_score":0.6992131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218133846401353,"score_gpt":0.2655827240687,"score_spread":0.2437693394285647,"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."}}