{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002806285,0.0001158214,0.0001377267,0.0001106721,0.001390121,0.001281218,0.004908338,0.00002811178,0.01637295],"category_scores_gemma":[0.004007704,0.0001079756,0.00001520805,0.0006165428,0.0000907243,0.001181235,0.003684509,0.0001537823,0.001420952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375822,"about_ca_system_score_gemma":0.00009178445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.877981,"about_ca_topic_score_gemma":0.878113,"domain_scores_codex":[0.9965381,0.0004987317,0.0004530412,0.0006862567,0.00148939,0.0003344648],"domain_scores_gemma":[0.996662,0.00006407349,0.0002089428,0.002293581,0.0005461393,0.0002252449],"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":[0.00001954984,0.00003328039,0.000007750259,0.000008024096,0.00001656533,0.00002939504,0.0002244277,0.000004476728,0.00002266804,0.01412514,0.9228213,0.0626874],"study_design_scores_gemma":[0.0001553081,0.00002139955,0.001845342,0.000006961151,0.000008676509,0.00001471013,0.0013628,0.00031139,0.0000499943,0.0004059964,0.9956878,0.0001295791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007472333,0.0001110883,0.03810404,0.01352221,0.001136958,0.00114444,0.01905761,0.0006218574,0.9188294],"genre_scores_gemma":[0.9359944,0.00005936585,0.001076916,0.002306917,0.0002528454,2.553505e-8,0.03158813,0.0008255648,0.02789583],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9285221,"threshold_uncertainty_score":0.9999099,"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."}}