{"id":"W2993796282","doi":"10.4324/9781315175805","title":"Political Candidate Selection","year":2019,"lang":"en","type":"book","venue":"","topic":"Public Administration and Governance","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"","keywords":"Politics; Selection (genetic algorithm); Political science; Computer science; Artificial intelligence; Law","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":[0.001859574,0.0002571734,0.0002986077,0.0007004294,0.002491303,0.003691318,0.0006873315,0.0007440124,0.05696495],"category_scores_gemma":[0.003312498,0.0001917995,0.0002573993,0.0009555234,0.001803945,0.001725557,0.001661534,0.001237225,0.0164928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766368,"about_ca_system_score_gemma":0.001884801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092751,"about_ca_topic_score_gemma":0.006755528,"domain_scores_codex":[0.9984101,0.0005059514,0.00004794847,0.0002476845,0.000610887,0.0001773217],"domain_scores_gemma":[0.9990814,0.0004404022,0.00004147651,0.0001421181,0.0001987953,0.00009590676],"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":[0.00001893352,0.00001296187,0.0004886074,0.00005078318,0.000002745373,0.00005030203,0.001156197,0.0001660649,0.000264316,0.7253324,0.1785388,0.09391788],"study_design_scores_gemma":[0.000002822002,0.00001162117,0.0006782441,0.00004467325,0.000001708717,0.0000941813,0.0005144923,0.0002800724,0.0002695437,0.03949802,0.9585999,0.000004865929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003426441,0.001173619,0.007153503,0.002675624,0.0007086775,0.00008525584,0.0001635165,0.0000887065,0.9845247],"genre_scores_gemma":[0.05559154,0.0008860512,0.003744598,0.001065963,0.000242376,0.00008556702,0.0002442669,0.0001092294,0.9380303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05696495,"threshold_uncertainty_score":0.1905667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705672526799702,"score_gpt":0.3221575576178813,"score_spread":0.3051008323498843,"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."}}