{"id":"W4233693428","doi":"10.1109/memc.0.7764239","title":"EMC personality profile","year":2016,"lang":"en","type":"article","venue":"IEEE Electromagnetic Compatibility Magazine","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personality profile; Subject (documents); Personality; Electromagnetic compatibility; Psychology; Engineering; Engineering ethics; Applied psychology; Computer science; Social psychology; Library science; Big Five personality traits; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00220096,0.000575673,0.0006239244,0.001897496,0.003083762,0.004553427,0.0007232663,0.0009789882,0.2157774],"category_scores_gemma":[0.008938301,0.0002184823,0.0003314982,0.002099874,0.0003238395,0.001659339,0.001745213,0.002171589,0.2037851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151728,"about_ca_system_score_gemma":0.003511859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004507,"about_ca_topic_score_gemma":0.01272267,"domain_scores_codex":[0.9980699,0.0002542353,0.00009663057,0.00009304186,0.001053545,0.0004326619],"domain_scores_gemma":[0.9842119,0.0005196261,0.0004600371,0.0006146813,0.007615665,0.006578093],"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":[0.00004189382,0.00008177035,0.001705858,0.00005234516,0.000002197238,0.00007913484,0.0002593482,0.00004001407,0.00038085,0.001227123,0.9391682,0.05696121],"study_design_scores_gemma":[0.000007689898,0.00006520985,0.00552935,0.00006245916,0.000002278907,0.0004371968,0.0005606965,0.0001040904,0.0001662393,0.0003575784,0.9926925,0.00001475255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02631147,0.003761904,0.005115305,0.03780288,0.01356135,0.0007929512,0.008620293,0.002938252,0.9010957],"genre_scores_gemma":[0.04696282,0.003617299,0.003071084,0.008578801,0.001817365,0.0006022287,0.004890877,0.0006937043,0.9297658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2157774,"threshold_uncertainty_score":0.7218473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009315095580774526,"score_gpt":0.2032951721008491,"score_spread":0.1939800765200746,"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."}}