{"id":"W2784999829","doi":"10.3138/cras.2017.008","title":"Predicting Trump and Presenting Canada in Philip Roth's <i>The Plot against America</i>","year":2018,"lang":"en","type":"article","venue":"Canadian Review of American Studies","topic":"American Jewish Fiction Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Plot (graphics); Persecution; Parallels; State (computer science); History; Literature; Art; Art history; Philosophy; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002939246,0.0002060049,0.0007324151,0.0001278488,0.0004581046,0.00002949829,0.0002377589,0.000008801006,0.0002338373],"category_scores_gemma":[0.00058272,0.0001563748,0.0000789354,0.0004601683,0.003155526,0.00008609975,0.00007186182,0.000152533,0.00000917195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647555,"about_ca_system_score_gemma":0.0005904583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465237,"about_ca_topic_score_gemma":0.9963338,"domain_scores_codex":[0.9983273,0.000161145,0.0005456964,0.0003023783,0.0002432893,0.0004201752],"domain_scores_gemma":[0.9985391,0.0002049686,0.0004482104,0.0003179322,0.0003074435,0.0001823164],"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":[0.0000139521,0.00004996327,0.1305728,0.003677953,0.001874073,0.00008624868,0.05090024,0.00001375684,0.0000105311,0.002462512,0.4691116,0.3412263],"study_design_scores_gemma":[0.00007780234,0.00005026297,0.003216369,0.001245804,0.0001206192,0.000003144484,0.05263837,0.00007424945,0.000003655053,0.000008734664,0.9423432,0.000217837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4728664,0.2717584,0.000004293569,0.04802886,0.001040827,0.001747001,0.0004292618,0.0001119871,0.2040129],"genre_scores_gemma":[0.9269006,0.04830968,0.00004598762,0.02329925,0.0004609717,0.00006612395,0.000007992631,0.00003083281,0.000878515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4732316,"threshold_uncertainty_score":0.9995573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340791639723171,"score_gpt":0.2516001947439138,"score_spread":0.2281922783466821,"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."}}