{"id":"W2031464118","doi":"10.1109/mei.2009.4802596","title":"EIC volunteer profile","year":2009,"lang":"en","type":"article","venue":"IEEE Electrical Insulation Magazine","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Desk; Variety (cybernetics); Set (abstract data type); Engineering; Management; Library science; Computer science; Artificial intelligence; Mechanical engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001748233,0.0006142989,0.0003668944,0.001261959,0.00374798,0.004116678,0.0008785106,0.001895553,0.444151],"category_scores_gemma":[0.002687575,0.0002799242,0.0003788623,0.001173189,0.0003709394,0.00108512,0.002230561,0.001812246,0.3198119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002708842,"about_ca_system_score_gemma":0.01099112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07706455,"about_ca_topic_score_gemma":0.2666142,"domain_scores_codex":[0.9990349,0.00006917769,0.00001951438,0.00007350616,0.0004186915,0.0003841783],"domain_scores_gemma":[0.9929265,0.000105758,0.00006155632,0.0001749704,0.003405924,0.003325242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000163832,0.00001090213,0.0001404913,0.0000165336,3.573873e-7,0.00002018414,0.00001628683,0.000008610298,0.00008106214,0.0002276202,0.9925136,0.006947877],"study_design_scores_gemma":[0.000005910256,0.000007631347,0.0008019173,0.00003061354,4.593836e-7,0.00002272328,0.0001215275,0.00001991121,0.0000200492,0.00006379814,0.9989018,0.000003547846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002905578,0.001645928,0.0009379953,0.02783293,0.01591937,0.001187105,0.009352986,0.001259264,0.9389589],"genre_scores_gemma":[0.004651968,0.0007151626,0.0003229743,0.004429648,0.0009696,0.0002403618,0.003573635,0.00025616,0.9848406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.444151,"threshold_uncertainty_score":0.7928511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009402606655759179,"score_gpt":0.218764969148556,"score_spread":0.2093623624927969,"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."}}