{"id":"W2945937721","doi":"10.20944/preprints201905.0158.v1","title":"An Adaptive Biomedical Data Managing Scheme Based on Blockchain Technique","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Blockchain; Computer science; Encryption; Scheme (mathematics); Construct (python library); Key (lock); Hash function; Immutability; Health care; Computer security; Data science; Data mining; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.001042019,0.0003047028,0.0005615384,0.0006384676,0.001074338,0.001139139,0.001088099,0.0008325768,0.003287513],"category_scores_gemma":[0.002219719,0.0001866259,0.0003140383,0.0009884208,0.0007069585,0.002456249,0.001733355,0.0006839302,0.0006667293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000780279,"about_ca_system_score_gemma":0.001632006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645544,"about_ca_topic_score_gemma":0.001003728,"domain_scores_codex":[0.9986142,0.000388273,0.000136787,0.0002192906,0.0004693593,0.0001720173],"domain_scores_gemma":[0.998333,0.0003963716,0.0002172966,0.0005675576,0.0003329748,0.000152736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002038458,0.0004105502,0.005128883,0.0006046748,0.0001830549,0.001687303,0.001570674,0.1314447,0.1478326,0.2561893,0.0108579,0.4420518],"study_design_scores_gemma":[0.0005008738,0.0009530085,0.001551261,0.00009617254,0.0001061949,0.001679968,0.0002077773,0.8179935,0.05019763,0.0769709,0.0495922,0.0001504164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1044309,0.0008125076,0.8793471,0.0009379625,0.0002483625,0.0008671145,0.0003928108,0.001541657,0.01142156],"genre_scores_gemma":[0.8767745,0.0004456927,0.1130302,0.0001244675,0.00008907531,0.0003896403,0.0003701553,0.00003762912,0.008738703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003287513,"threshold_uncertainty_score":0.01099789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09901627008215039,"score_gpt":0.3450759921859484,"score_spread":0.246059722103798,"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."}}