{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000286157,0.0002804886,0.0003338038,0.00007739961,0.00004661484,0.00002640512,0.0002281862,0.00008672293,0.0008045844],"category_scores_gemma":[0.00006542438,0.0002130801,0.00009940455,0.0002513573,0.00006977571,0.00009831172,0.00001515966,0.0001631904,0.0008136798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709166,"about_ca_system_score_gemma":0.00002743762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002081061,"about_ca_topic_score_gemma":0.00005527026,"domain_scores_codex":[0.998394,0.00005692503,0.0003851992,0.0003569084,0.0002604422,0.0005464862],"domain_scores_gemma":[0.9989449,0.0001755769,0.00003056313,0.0006134509,0.00007278744,0.000162757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002367121,0.0001301084,0.005273489,0.000376086,0.00006866244,0.00001237368,0.0001542948,0.0005394186,0.955716,0.0003029099,0.02106656,0.01633643],"study_design_scores_gemma":[0.005755666,0.00264949,0.5729761,0.0005991502,0.0001591411,0.0002881311,0.00002180464,0.169321,0.1961993,0.00275325,0.04581915,0.003457841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796276,0.0004053501,0.005057911,0.0001537198,0.0006149658,0.0003308153,0.00003380484,0.001337719,0.01243811],"genre_scores_gemma":[0.9968912,0.00001753841,0.0009109351,0.00001338499,0.0002356542,0.00005788601,0.000006128329,0.00005024784,0.00181705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7595167,"threshold_uncertainty_score":0.9999643,"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."}}