{"id":"W2968560482","doi":"10.5958/0974-1283.2019.00186.5","title":"Deaths Due to Electrocution-A Retrospective Study","year":2019,"lang":"en","type":"article","venue":"Medico-Legal Update","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrocution; Medicine; Retrospective cohort study; Forensic engineering; Medical emergency; Emergency medicine; Engineering; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005464154,0.0001772754,0.0002662796,0.0001285509,0.0000986153,0.0002390238,0.001213203,0.00004907103,0.0002287009],"category_scores_gemma":[0.00005751245,0.0001498304,0.00006889403,0.0003722422,0.0000163554,0.0005387669,0.0004791645,0.0002876951,0.002627609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133641,"about_ca_system_score_gemma":0.0000705541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001981606,"about_ca_topic_score_gemma":0.00004532468,"domain_scores_codex":[0.9980536,0.00005733447,0.000232552,0.0005761794,0.0005834333,0.0004969679],"domain_scores_gemma":[0.998974,0.00001693853,0.00007292677,0.0006460941,0.0001147446,0.0001752906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000118776,0.001063859,0.02342492,0.00002491933,0.0002895102,0.0008803879,0.009303768,0.00005949162,0.004937086,0.8654751,0.07999037,0.01443188],"study_design_scores_gemma":[0.006545262,0.01102041,0.2130531,0.0002676921,0.0001038119,0.0006330737,0.001034872,0.03143839,0.02110556,0.02958547,0.6822767,0.002935682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8502055,0.00004232663,0.1146306,0.007712171,0.002710073,0.0008147199,0.000003686378,0.0003440476,0.02353688],"genre_scores_gemma":[0.9900993,0.000001776118,0.002624055,0.003087654,0.0001997814,0.00002128575,0.000002272334,0.00001305137,0.003950876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8358896,"threshold_uncertainty_score":0.998149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00383675871740351,"score_gpt":0.22888571317094,"score_spread":0.2250489544535365,"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."}}