{"id":"W2338411970","doi":"10.1017/s1479244316000111","title":"GEORGE CATLIN, THE SCIENCE OF POLITICS, AND ANGLO-AMERICAN UNION","year":2016,"lang":"en","type":"article","venue":"Modern Intellectual History","topic":"Australian History and Society","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Politics; George (robot); Political science; Intersection (aeronautics); Field (mathematics); Political economy; Economic history; Law; History; Sociology; Geography; Art history","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001041467,0.00008631927,0.0001323892,0.00006867858,0.0006596849,0.000007893052,0.0003621854,0.00004852116,0.0002972379],"category_scores_gemma":[0.0008912028,0.00005686384,0.00005470964,0.0001870129,0.01178107,0.0001564004,0.00005767451,0.0001009043,0.00002162046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273918,"about_ca_system_score_gemma":0.0006757063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00459692,"about_ca_topic_score_gemma":0.000325285,"domain_scores_codex":[0.9987434,0.0001934673,0.0001548428,0.0002247977,0.0003629829,0.0003205792],"domain_scores_gemma":[0.9989968,0.0003977768,0.00009988169,0.000221343,0.0001492635,0.0001349204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001786603,0.0000671577,0.001007376,0.00001126126,0.00001674421,0.000001418235,0.8680697,0.000001692588,0.008728581,0.04890174,0.0578575,0.01531898],"study_design_scores_gemma":[0.0001146696,0.00008751165,0.0008326418,0.00002017058,0.00001420508,0.000001433313,0.003927921,0.00003350478,0.0007307365,0.001417901,0.992653,0.0001663114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804329,0.0006593616,0.002141973,0.001231993,0.0005686636,0.0001399995,0.00000840436,0.00005896723,0.0147577],"genre_scores_gemma":[0.9729878,0.0001950187,0.00007111492,0.0001558626,0.00008517592,0.000003702296,2.193712e-7,0.000008012108,0.02649311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347955,"threshold_uncertainty_score":0.9909083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824598057608306,"score_gpt":0.2745820990227184,"score_spread":0.2363361184466353,"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."}}