{"id":"W3093124840","doi":"","title":"The impostor in all of us.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stanza; Perspective (graphical); Poetry; Computer science; Medicine; Linguistics; Philosophy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008960472,0.0006049884,0.0004233608,0.0007597828,0.004510536,0.00340473,0.0008334455,0.003982928,0.05215631],"category_scores_gemma":[0.006561349,0.0002939409,0.0005905761,0.0004013325,0.006572753,0.006700374,0.003862391,0.008417116,0.02061566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008633799,"about_ca_system_score_gemma":0.0019562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390444,"about_ca_topic_score_gemma":0.00617122,"domain_scores_codex":[0.9991053,0.0002435547,0.00003248002,0.0001344135,0.0003144233,0.0001698363],"domain_scores_gemma":[0.9987575,0.0002087374,0.0001745043,0.0001218916,0.0003569633,0.0003804311],"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":[0.00002632175,0.00002373337,0.0006930557,0.000131628,0.00001715977,0.001856972,0.00475438,0.00002812978,0.0002880964,0.03897111,0.905562,0.04764737],"study_design_scores_gemma":[0.000007498126,0.00001783579,0.000525324,0.0003278312,0.00000826482,0.006642877,0.004884149,0.0000407618,0.0001342171,0.01245859,0.9749218,0.00003103237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006594373,0.01846866,0.005097642,0.5288944,0.07399952,0.0001146568,0.0003549307,0.001359141,0.3651167],"genre_scores_gemma":[0.1341717,0.01278689,0.008451437,0.3927203,0.0206668,0.0002324797,0.0003170059,0.001025647,0.4296278],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05215631,"threshold_uncertainty_score":0.1744803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06126811124195127,"score_gpt":0.2886153714672974,"score_spread":0.2273472602253461,"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."}}