{"id":"W7084402380","doi":"10.57745/tsmucp","title":"14.0001.2024.02.26.18.13.42.000.E.miniseed","year":2025,"lang":"fr","type":"dataset","venue":"Recherche Data Gouv France","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"","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":[0.002078283,0.002008796,0.00183837,0.003775546,0.0008218705,0.004149003,0.003371241,0.002814723,0.3538497],"category_scores_gemma":[0.01282934,0.001488622,0.001610817,0.007118978,0.0004270619,0.001717529,0.00215566,0.001557822,0.3053198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740713,"about_ca_system_score_gemma":0.001717165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158046,"about_ca_topic_score_gemma":0.02464226,"domain_scores_codex":[0.9989925,0.0002912658,0.0001170873,0.0003047096,0.0001428555,0.0001515731],"domain_scores_gemma":[0.9963763,0.001487626,0.0003820269,0.0008172645,0.0004953232,0.0004414939],"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":[0.0000830853,0.00001186576,0.0007331849,0.0005434403,0.00004102341,0.00001238568,0.00001835887,0.0002149939,0.00004534785,0.0006081216,0.995307,0.002381149],"study_design_scores_gemma":[0.0007484896,0.00002276182,0.002914686,0.0005109908,0.0000440764,0.00004970761,0.00003597359,0.0003753024,0.0001768146,0.002796473,0.9922916,0.00003310259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004449361,0.00005617931,0.00008143191,0.00009839505,0.00002144558,0.00000735327,0.9983188,0.0004888173,0.0008831519],"genre_scores_gemma":[0.000825079,0.0001448573,0.0006093146,0.000213703,0.00003265791,0.0001231169,0.9953859,0.0005266939,0.002138592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3538497,"threshold_uncertainty_score":0.9216549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.625728579145025,"score_gpt":0.517238086812472,"score_spread":0.108490492332553,"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."}}