{"id":"W4293227267","doi":"10.1145/3478431.3499282","title":"Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 53rd ACM Technical Symposium on Computer Science Education","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Phenomenon; Computer science; Work (physics); Data science; Knowledge management; Psychology; Epistemology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740019,0.0001342596,0.0001432028,0.0001333275,0.001251339,0.00005030283,0.00312929,0.00003547837,0.0001756378],"category_scores_gemma":[0.001289989,0.00008358878,0.0001164175,0.001538227,0.0007583559,0.0002384901,0.001339655,0.0003149379,0.000001590189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440156,"about_ca_system_score_gemma":0.0004320914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002658594,"about_ca_topic_score_gemma":0.000002505494,"domain_scores_codex":[0.9980431,0.00003912619,0.0004184363,0.0004959276,0.0007304393,0.0002730314],"domain_scores_gemma":[0.9970586,0.001395997,0.0005732455,0.0004306245,0.0005120868,0.00002941674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006755805,0.005944156,0.1662364,0.001505512,0.0001154548,8.876129e-8,0.02550408,0.00373339,0.1601777,0.1401703,0.4100789,0.08585853],"study_design_scores_gemma":[0.0003113086,0.0006029714,0.9805476,0.0005456368,0.00004820573,0.00004004572,0.0007777388,0.003541332,0.00301332,0.004761822,0.005580833,0.0002291759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917663,0.0005542419,0.00146555,0.06231393,0.009542128,0.005569777,0.0004050063,0.0001696616,0.002316678],"genre_scores_gemma":[0.9956256,0.0000114863,0.00257174,0.0004862049,0.0002701661,0.0006755355,0.000001725057,0.000009861645,0.0003477024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8143113,"threshold_uncertainty_score":0.9624411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663027495095582,"score_gpt":0.3345233382464252,"score_spread":0.2978930632954694,"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."}}