{"id":"W2411197903","doi":"10.1177/1527476416652699","title":"Trump’s “Reality” Hustle","year":2016,"lang":"en","type":"article","venue":"Television & New Media","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Popularity; Reputation; Power (physics); Politics; Order (exchange); Reality tv; Advertising; Population; Product (mathematics); Political science; Business; Sociology; Media studies; Public relations; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007758625,0.0001238413,0.0001924734,0.00006271577,0.0002614432,0.0000482157,0.0004577884,0.0001987295,0.004913709],"category_scores_gemma":[0.003634476,0.000084073,0.0000989343,0.0002397367,0.0005438264,0.0001959378,0.00008191253,0.0001282494,0.0017377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410691,"about_ca_system_score_gemma":0.0003756999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467504,"about_ca_topic_score_gemma":0.0007200846,"domain_scores_codex":[0.9979222,0.0002079468,0.000251533,0.0002944923,0.0007463411,0.0005774683],"domain_scores_gemma":[0.9973806,0.001537558,0.00006424466,0.0003403811,0.00006702167,0.0006101829],"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":[0.000008595015,0.00002833189,0.001572909,0.000003287463,0.000007099547,0.000007006925,0.003829091,1.067844e-7,0.0001655122,0.7280287,0.05672914,0.2096203],"study_design_scores_gemma":[0.0006913692,0.00003201568,0.02084577,0.00009003369,0.00001786599,0.000001127296,0.001515119,0.00001400201,0.0001489688,0.3158399,0.6605109,0.0002929154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2637952,0.0004380536,0.007347367,0.1604027,0.005449064,0.0007237259,0.00006764678,0.001246757,0.5605295],"genre_scores_gemma":[0.9819919,0.0002951129,0.001129894,0.0007501123,0.001831088,0.000006015485,0.000003622906,0.00002374141,0.01396844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7181967,"threshold_uncertainty_score":0.9990396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06499313672796685,"score_gpt":0.3624401402861243,"score_spread":0.2974470035581574,"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."}}