{"id":"W4376611294","doi":"10.3390/app13106027","title":"Detection and Analysis of Ethereum Energy Smart Contracts","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Smart contract; Computer science; Database transaction; Blockchain; Domain (mathematical analysis); Computer security; Database","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":[0.001944848,0.0002721468,0.000296061,0.004053223,0.0007207852,0.001091677,0.0005176424,0.0006912549,0.00145182],"category_scores_gemma":[0.007593645,0.0002125547,0.0002849686,0.0028466,0.0008598255,0.002032527,0.00126931,0.001003206,0.0008107805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009013879,"about_ca_system_score_gemma":0.001708638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861229,"about_ca_topic_score_gemma":0.003648791,"domain_scores_codex":[0.9976472,0.0004714926,0.0001933943,0.0003811895,0.001185848,0.0001208805],"domain_scores_gemma":[0.9924966,0.003839512,0.00111105,0.0007387522,0.001652522,0.0001615151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006345461,0.0003876428,0.06067846,0.001532304,0.00008112242,0.003040069,0.009894716,0.02075041,0.158508,0.07553633,0.02983967,0.6391166],"study_design_scores_gemma":[0.00005597044,0.0002046466,0.08025248,0.0003870799,0.00006030738,0.00226039,0.005913797,0.4338876,0.2193416,0.03690123,0.2205597,0.0001751561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681113,0.001081918,0.1957403,0.001313535,0.0001669231,0.0005984818,0.009805936,0.003573289,0.01960832],"genre_scores_gemma":[0.7499007,0.0007920721,0.2173748,0.000194229,0.00005701037,0.0005312064,0.02029454,0.0005615995,0.01029381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004053223,"threshold_uncertainty_score":0.0102855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375744593112769,"score_gpt":0.2388770366485993,"score_spread":0.2251195907174716,"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."}}