{"id":"W4220657425","doi":"10.23919/icact53585.2022.9728950","title":"Blockchain Traceability in Healthcare: Blood Donation Supply Chain","year":2022,"lang":"en","type":"article","venue":"2022 24th International Conference on Advanced Communication Technology (ICACT)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traceability; Blockchain; Supply chain; Immutability; Business; Leverage (statistics); Smart contract; Information sharing; Computer science; Computer security; Process management; Risk analysis (engineering); Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004769348,0.0005189404,0.0005861729,0.001080924,0.001664529,0.003940919,0.001497386,0.002637819,0.006474434],"category_scores_gemma":[0.0111867,0.0003615689,0.0004642378,0.00206269,0.00175684,0.006762006,0.004821325,0.001947648,0.001845923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928904,"about_ca_system_score_gemma":0.004999255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736162,"about_ca_topic_score_gemma":0.002038551,"domain_scores_codex":[0.9940355,0.002502275,0.0003949829,0.0008805212,0.001715772,0.0004709511],"domain_scores_gemma":[0.9930755,0.002538563,0.0008392773,0.001744141,0.001349716,0.00045287],"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":[0.0004049318,0.0002670049,0.005772028,0.0009665064,0.00009344382,0.001286737,0.001336072,0.08634937,0.01123803,0.599372,0.01071686,0.2821969],"study_design_scores_gemma":[0.0001021979,0.000392334,0.001540441,0.000660433,0.00006651385,0.001252765,0.0008352546,0.3304279,0.01741615,0.4888823,0.1583146,0.0001091995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03738618,0.00291223,0.9130509,0.006113735,0.0003772379,0.0005937905,0.0004072843,0.001050306,0.03810826],"genre_scores_gemma":[0.8202087,0.004137084,0.1565073,0.0009027669,0.0002240997,0.0004564688,0.0006717126,0.0001243058,0.01676766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006474434,"threshold_uncertainty_score":0.02522296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893968517172602,"score_gpt":0.2833837179703064,"score_spread":0.2644440327985804,"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."}}