{"id":"W7101896604","doi":"10.17605/osf.io/vw7md","title":"ReS-ACUE database","year":2025,"lang":"en","type":"dataset","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Categorical variable; Population; Baseline (sea); Data extraction; Bibliographic database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002875849,0.00120727,0.001612376,0.008457382,0.001226957,0.003003005,0.003632209,0.002515406,0.1209558],"category_scores_gemma":[0.02024344,0.0007229931,0.001240604,0.01122805,0.0005323793,0.002431833,0.002608558,0.002125402,0.08410902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962531,"about_ca_system_score_gemma":0.004652117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632822,"about_ca_topic_score_gemma":0.02588324,"domain_scores_codex":[0.9973659,0.0005493631,0.0006788636,0.0006065966,0.000505665,0.0002936645],"domain_scores_gemma":[0.9908398,0.00359332,0.0008085173,0.001825253,0.002478188,0.0004549838],"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":[0.0001537108,0.00003434665,0.0009546467,0.00320488,0.00005259447,0.00004751166,0.0000855475,0.0003297126,0.0002745609,0.002645142,0.9869661,0.005251258],"study_design_scores_gemma":[0.0001486559,0.00001398724,0.001913095,0.0005370049,0.00002898697,0.00004243865,0.000109769,0.0001983335,0.000251489,0.001544482,0.99518,0.00003183754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001138305,0.00006701614,0.00009845399,0.00006180838,0.00001464076,0.0000337812,0.9984597,0.0002923117,0.0008585001],"genre_scores_gemma":[0.0005990973,0.00009123397,0.0007084601,0.00006704275,0.000007068451,0.0003860447,0.9974301,0.0001616838,0.0005492644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8790442,"threshold_uncertainty_score":0.4046373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081152814559247,"score_gpt":0.297412601469066,"score_spread":0.2766010733234735,"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."}}