{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science"],"category_scores_codex":[0.002389841,0.0005380228,0.0005683374,0.0006413461,0.00020904,0.00006829139,0.01169868,0.001092549,0.0001108274],"category_scores_gemma":[0.0001461134,0.0005645721,0.0001297421,0.0006051817,0.0003137299,0.0001326323,0.01277112,0.002486019,0.0007261824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756931,"about_ca_system_score_gemma":0.0004359878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001376433,"about_ca_topic_score_gemma":0.00001011553,"domain_scores_codex":[0.9946693,0.0002775104,0.0005981538,0.003210004,0.0006529174,0.0005921139],"domain_scores_gemma":[0.9846815,0.0001554812,0.0004038959,0.01437011,0.0001514178,0.0002375863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004217512,0.0125153,0.1282097,0.001502156,0.001082488,0.0003990941,0.0021136,0.02322201,0.03787413,0.7199058,0.002540577,0.07021335],"study_design_scores_gemma":[0.0002954859,0.0001013458,0.004666164,0.0002300579,0.00002125691,0.00001084676,0.0000260519,0.9538206,0.01046388,0.02618749,0.003495516,0.0006813279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05554858,0.00004803514,0.9312549,0.005070546,0.0004403574,0.002097963,0.0001224152,0.001980393,0.003436811],"genre_scores_gemma":[0.9062468,0.00001644941,0.0921946,0.0004670023,0.0001055668,0.0006675355,0.0001921643,0.00004263705,0.0000671774],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9305986,"threshold_uncertainty_score":0.9998153,"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."}}