{"id":"W3215178658","doi":"10.32920/ryerson.14655993.v1","title":"The Politics of Media and 9/11","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Framing (construction); Terrorism; Adversary; News media; Politics; Media coverage; Political science; Media studies; Media event; Mass media; Media bias; Public opinion; Advertising; Public relations; Sociology; Law; History; Business; Computer security; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00007684935,0.0000605985,0.0001260975,0.00001004989,0.0002883878,0.0001078142,0.0001533576,0.00002506479,0.0001917107],"category_scores_gemma":[0.00003584093,0.00003494178,0.000037366,0.000004162794,0.0003577073,0.00001255757,0.0006965147,0.00009754223,0.000001481748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005039019,"about_ca_system_score_gemma":0.00003180339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00071873,"about_ca_topic_score_gemma":0.002472528,"domain_scores_codex":[0.9996198,0.0000280425,0.0001491745,0.00006433392,0.00007926216,0.00005943318],"domain_scores_gemma":[0.9991676,0.0002640293,0.00007011915,0.0003273778,0.0001575172,0.00001334216],"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":[2.746829e-7,0.00000683861,0.0001030636,0.00001837433,0.00003905834,8.466705e-8,0.04150085,1.125854e-7,1.254702e-7,0.9510177,0.006607155,0.0007063526],"study_design_scores_gemma":[0.00004480643,0.000004119052,0.0006130741,0.00003490336,0.00003057835,3.05024e-7,0.1033147,0.00001598037,0.0000143841,0.03249802,0.863345,0.00008407137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07623255,0.05053938,0.00005035989,0.007758764,0.001575456,0.0001381768,0.0000352018,0.00004962531,0.8636205],"genre_scores_gemma":[0.9580422,0.007645195,0.00008093665,0.000095923,0.0002246771,0.00001163387,0.000009038551,0.000004879581,0.03388554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9185197,"threshold_uncertainty_score":0.2218075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08733004600139371,"score_gpt":0.2675925959321395,"score_spread":0.1802625499307458,"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."}}