{"id":"W6949028182","doi":"10.5281/zenodo.13900843","title":"Report: Understanding and evaluating data discovery and access for restricted data in Canada: A metadata assessment of health data sources","year":2024,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance; University of Toronto; Canadian Respiratory Research Network; University of Saskatchewan","funders":"","keywords":"Metadata; Data discovery; Data element; Key (lock); Data sharing; Reuse; Knowledge extraction; Health data; Set (abstract data type); Data integration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.07411977,0.0007886258,0.0008131454,0.01251714,0.01370018,0.01502005,0.003117298,0.001215398,0.004337173],"category_scores_gemma":[0.1741654,0.0008905437,0.001206449,0.02300416,0.004988767,0.005002541,0.01089314,0.002226144,0.001110056],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1874334,"about_ca_system_score_gemma":0.4927299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943435,"about_ca_topic_score_gemma":0.9942517,"domain_scores_codex":[0.923993,0.008891564,0.004974974,0.002982451,0.05437474,0.004783287],"domain_scores_gemma":[0.7206882,0.04286039,0.009517325,0.01052705,0.205889,0.01051796],"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":[0.0003792021,0.0003974828,0.301918,0.00307291,0.000403953,0.0004613395,0.06340769,0.003004378,0.002197999,0.05295551,0.3034089,0.2683927],"study_design_scores_gemma":[0.0001049771,0.0002224401,0.3225832,0.003796573,0.0006014452,0.0002691641,0.1132291,0.007106444,0.006404571,0.009599411,0.5356801,0.0004026217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3240013,0.00843642,0.04959992,0.09952051,0.0008586021,0.01699029,0.2471298,0.002702058,0.2507612],"genre_scores_gemma":[0.5607973,0.01055716,0.2289479,0.008741235,0.0001723791,0.009130441,0.1217546,0.001106534,0.05879237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9968827,"threshold_uncertainty_score":0.9424621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5875081899321047,"score_gpt":0.5173995651257239,"score_spread":0.0701086248063808,"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."}}