{"id":"W2998071621","doi":"10.1017/s1049096519001100","title":"The Qualifying Field Exam: What Is It Good For?","year":2019,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Political Science Research and Education","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Theme (computing); Group cohesiveness; Value (mathematics); Field (mathematics); Politics; Certification; Sociology; Variety (cybernetics); Epistemology; Public relations; Political science; Psychology; Social psychology; Computer science; Law; World Wide Web; Mathematics; Philosophy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.008038962,0.0001675229,0.0001883675,0.0001160316,0.003676797,0.00207941,0.001631127,0.0001366186,0.0005174102],"category_scores_gemma":[0.009437487,0.0001211955,0.0001381595,0.00072337,0.003680517,0.001656908,0.0002121663,0.0002837421,0.0006301753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404574,"about_ca_system_score_gemma":0.004393533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633966,"about_ca_topic_score_gemma":0.0003609201,"domain_scores_codex":[0.9895849,0.0001841441,0.0003699301,0.0005486822,0.00184924,0.007463168],"domain_scores_gemma":[0.991604,0.003980515,0.0000618449,0.0005490432,0.0005068574,0.003297756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003000577,0.00003660213,0.002444872,0.00001053162,0.000002794891,2.814366e-7,0.002693407,1.689823e-7,0.00009872351,0.9897932,0.001215928,0.003700452],"study_design_scores_gemma":[0.0002260361,0.0002405456,0.003605583,0.0000670384,0.00001318791,0.000003013962,0.07533567,0.0005078724,0.003850437,0.4430259,0.4727379,0.0003867723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2599268,0.0001856652,0.0006073258,0.3558601,0.002976879,0.001151318,0.00002451884,0.0001042115,0.3791632],"genre_scores_gemma":[0.9742957,0.0001260858,0.0002474573,0.0137519,0.0008879157,0.0000472153,0.000001429494,0.00001020361,0.01063209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7143689,"threshold_uncertainty_score":0.9990309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018625407967487,"score_gpt":0.4808195916183353,"score_spread":0.3789570508215866,"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."}}