{"id":"W6912743206","doi":"10.5281/zenodo.6812337","title":"The Repository Rodeo","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Theme (computing); Panel discussion; Information repository","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":[0.007720239,0.001252797,0.001453009,0.005215853,0.007049526,0.02049497,0.003291753,0.004861513,0.4037602],"category_scores_gemma":[0.02935213,0.0009062189,0.001395849,0.004548402,0.001789738,0.0168049,0.01259207,0.006331759,0.2842309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003286296,"about_ca_system_score_gemma":0.005724053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004639295,"about_ca_topic_score_gemma":0.00707101,"domain_scores_codex":[0.992312,0.001503435,0.0004432367,0.001124684,0.00373464,0.0008819776],"domain_scores_gemma":[0.9809102,0.002627891,0.0008163807,0.004731674,0.007098455,0.003815275],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000358439,0.00001187138,0.00008493668,0.00007021904,0.000002431492,0.00004794417,0.0002023339,0.00001850451,0.0001516118,0.005914607,0.9734142,0.02004549],"study_design_scores_gemma":[0.000002572626,0.000002781758,0.00003434667,0.00003290451,7.707575e-7,0.00002396586,0.00008550079,0.000009974528,0.00005045509,0.0003803091,0.9993703,0.000006066954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002220606,0.00833445,0.01462438,0.1001093,0.07822566,0.0006348693,0.01700115,0.01806369,0.7607858],"genre_scores_gemma":[0.008218971,0.002322009,0.006374555,0.01621968,0.008433706,0.0003838917,0.01223849,0.01018218,0.9356266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9922798,"threshold_uncertainty_score":0.8504637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533093014257317,"score_gpt":0.2718275546224105,"score_spread":0.2164966244798374,"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."}}