{"id":"W2405889505","doi":"10.5281/zenodo.3781572","title":"DataCite Canada: Canada's Data Registration Centre","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land registration; Computer science; Geography; Archaeology","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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01179947,0.002529274,0.003483055,0.01793,0.009004565,0.02107657,0.006746721,0.004010585,0.1966621],"category_scores_gemma":[0.06086889,0.002257003,0.001389309,0.0574359,0.003223402,0.006646081,0.003594538,0.005114141,0.1244943],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07658873,"about_ca_system_score_gemma":0.4130165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864675,"about_ca_topic_score_gemma":0.9767338,"domain_scores_codex":[0.985015,0.0009084612,0.001428036,0.001345859,0.009174976,0.002127832],"domain_scores_gemma":[0.8288399,0.007839492,0.004856062,0.01200053,0.1353893,0.01107473],"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":[0.00004050791,0.00001203778,0.0004158161,0.0001351821,0.000008197572,0.00001167864,0.00003319032,0.0001045152,0.00005731319,0.002361459,0.9870059,0.009814154],"study_design_scores_gemma":[0.00003350954,0.00000545147,0.001817769,0.0002051172,0.00002042502,0.00001168865,0.000132983,0.0004020178,0.0003114163,0.001068408,0.9959417,0.00004948615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008586008,0.001681807,0.003654934,0.01439801,0.001909646,0.0006002148,0.8545264,0.009051887,0.1133185],"genre_scores_gemma":[0.01265493,0.004083106,0.01365583,0.003793994,0.0003501862,0.0008912524,0.6754245,0.007601337,0.281545],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9932533,"threshold_uncertainty_score":0.6579003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.326167309335154,"score_gpt":0.3245950437760552,"score_spread":0.00157226555909884,"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."}}