{"id":"W3209393613","doi":"10.5281/zenodo.3946100","title":"ZÁSADY zajištení FAIRové správy a využitelnosti dat","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Economic and Fiscal Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network; Canarie","funders":"European Commission","keywords":"Computer science","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0104271,0.000668906,0.001451035,0.005085375,0.004423266,0.01681673,0.001917509,0.002029358,0.07259558],"category_scores_gemma":[0.02063677,0.0009480389,0.00124356,0.006342406,0.003948678,0.0126294,0.006222906,0.00616476,0.0383307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003614596,"about_ca_system_score_gemma":0.00918913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006594531,"about_ca_topic_score_gemma":0.006515396,"domain_scores_codex":[0.9911265,0.002811329,0.001204508,0.001115912,0.003250353,0.0004914043],"domain_scores_gemma":[0.9900666,0.002931427,0.0008042864,0.001963868,0.003522251,0.0007114298],"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":[0.0002367792,0.0001327283,0.003293809,0.001831519,0.0000696523,0.0007323142,0.01065835,0.0005520467,0.001503271,0.2801146,0.403119,0.2977559],"study_design_scores_gemma":[0.00001102669,0.00002179231,0.0008659713,0.0006490541,0.00001453774,0.0003401055,0.001366477,0.0001296337,0.0003990903,0.01200105,0.9841697,0.00003158777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01880652,0.04335315,0.1587239,0.07462621,0.01513613,0.00164376,0.01725822,0.01014503,0.6603072],"genre_scores_gemma":[0.1629849,0.04330758,0.1914026,0.024126,0.003723434,0.002752816,0.02071487,0.00974739,0.5412403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9980825,"threshold_uncertainty_score":0.2428564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09244309138172062,"score_gpt":0.2111130345788473,"score_spread":0.1186699431971267,"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."}}