{"id":"W4385320790","doi":"10.1007/s11265-023-01880-w","title":"Low Power Blockchain in Industry 4.0 Case Study: Water Management in Tunisia","year":2023,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Traceability; Blockchain; Computer security; Water security; Reliability (semiconductor); Business; Work (physics); Consumption (sociology); Service provider; Internet of Things; Environmental economics; Water industry; Computer science; Service (business); Water supply; Power (physics); Engineering; Water resources; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.002306083,0.0001395338,0.0002999919,0.00101346,0.0001067011,0.0001587742,0.0007167617,0.0002046125,0.000002884031],"category_scores_gemma":[0.000005904994,0.0001042694,0.00003873056,0.001366636,0.00003715997,0.0001909001,0.0002102433,0.0008033141,0.00001069564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038956,"about_ca_system_score_gemma":0.00005965414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000048111,"about_ca_topic_score_gemma":0.00001928425,"domain_scores_codex":[0.9981571,0.0001280425,0.0007719577,0.0002525374,0.0003566619,0.0003336811],"domain_scores_gemma":[0.9992717,0.00003411982,0.0002516133,0.0002593375,0.0001156428,0.00006761626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001595179,0.008776018,0.08394887,0.002049264,0.0005347345,0.4173838,0.1029037,0.09087144,0.006288949,0.01382029,0.002421787,0.2708417],"study_design_scores_gemma":[0.009103552,0.001565467,0.009456561,0.003376677,0.00007556305,0.0357854,0.1335595,0.7862958,0.003381724,0.01387486,0.001858069,0.001666809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898955,0.0001776217,0.008669655,0.0005847313,0.0001356067,0.0003226755,3.119726e-7,0.00007328315,0.0001405922],"genre_scores_gemma":[0.9994538,0.000002362711,0.0003411178,0.00003196273,0.00004061232,0.00003457708,1.331276e-7,0.00001014506,0.00008522585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6954244,"threshold_uncertainty_score":0.4251982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173303216200356,"score_gpt":0.2698707386578749,"score_spread":0.2525404170378392,"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."}}