{"id":"W6958572635","doi":"10.6084/m9.figshare.27176843","title":"Additional file 1 of An evaluation of the preprints produced at the beginning of the 2022 mpox public health emergency","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"","keywords":"Public health; Public access; MEDLINE; Emergency response; Health care","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004682238,0.0009918299,0.0008901703,0.003071565,0.001699916,0.002369298,0.001482898,0.001389808,0.9118294],"category_scores_gemma":[0.07674155,0.0006444689,0.0007937669,0.004116172,0.0005701271,0.002039105,0.001746704,0.001232575,0.3380754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675729,"about_ca_system_score_gemma":0.003885547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076191,"about_ca_topic_score_gemma":0.01191032,"domain_scores_codex":[0.9975317,0.0006909053,0.0004646105,0.0003855775,0.000682383,0.0002448682],"domain_scores_gemma":[0.9298401,0.05118199,0.002124489,0.004120833,0.01144047,0.001292028],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002644255,0.00004023298,0.00048277,0.0007699563,0.00001014128,0.00002849198,0.00006792466,0.0001117429,0.00005931256,0.0005087366,0.9924426,0.00521361],"study_design_scores_gemma":[0.001801472,0.0001976505,0.01227327,0.002540985,0.00007839742,0.0002338375,0.0007997784,0.0006889101,0.0007991921,0.008486288,0.9719775,0.0001227164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002426176,0.00001960475,0.0006260311,0.0003604739,0.0001381771,0.0005394373,0.9923393,0.0008178315,0.00491662],"genre_scores_gemma":[0.01333206,0.0002506353,0.009479574,0.001905995,0.0004959484,0.009629273,0.9082795,0.004537579,0.05208938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9953178,"threshold_uncertainty_score":0.1257647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341718432749237,"score_gpt":0.325949581572729,"score_spread":0.2325323972452367,"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."}}