{"id":"W4394072372","doi":"10.6084/m9.figshare.19641420","title":"fair dataset metadata","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Information retrieval; World Wide Web","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00269537,0.002199182,0.001868356,0.008412668,0.002438049,0.00445919,0.004697304,0.003255043,0.2416154],"category_scores_gemma":[0.01389724,0.0007788994,0.001679045,0.009389649,0.0007388375,0.005130539,0.003529166,0.002435139,0.2083102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500614,"about_ca_system_score_gemma":0.00408017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288258,"about_ca_topic_score_gemma":0.04388651,"domain_scores_codex":[0.9972426,0.000398796,0.0004272012,0.0007898051,0.0008085243,0.0003330885],"domain_scores_gemma":[0.9934298,0.001663676,0.0002735646,0.002212255,0.002013257,0.0004073671],"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":[0.0001324787,0.00004385286,0.0005768202,0.0003973295,0.00002205098,0.00004553996,0.00002676582,0.0003886108,0.0002529823,0.001686005,0.9870586,0.009369135],"study_design_scores_gemma":[0.0001053053,0.00003126985,0.001096797,0.0001629953,0.00001997872,0.00008213585,0.0001223996,0.0007841685,0.0004605624,0.004362531,0.9927338,0.00003812073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003190242,0.0001421381,0.0007522206,0.0002539289,0.0001805441,0.0001092899,0.9892707,0.00235533,0.006616774],"genre_scores_gemma":[0.0007704,0.0000901651,0.001836372,0.0001764221,0.00002325287,0.0002213751,0.9937668,0.0003161447,0.002799053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9953027,"threshold_uncertainty_score":0.8082842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08302012092667321,"score_gpt":0.3069505167134801,"score_spread":0.2239303957868068,"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."}}