{"id":"W4307070922","doi":"10.70064/mt.v5i2.926","title":"Celestial Apparitions: Media-Machine, Broadcasting and Aerial Advertising","year":2022,"lang":"en","type":"article","venue":"Media theory.","topic":"Literature, Film, and Journalism Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Advertising; Broadcasting (networking); Negotiation; Sky; Political science; Computer science; Geography; Business; Computer security; 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":[0.001458368,0.0003422163,0.0002994419,0.002776594,0.005708694,0.01505605,0.0006231997,0.002034431,0.007848322],"category_scores_gemma":[0.003799233,0.00020199,0.0001657057,0.004923751,0.02526789,0.006949148,0.002631621,0.00208682,0.0005242781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640275,"about_ca_system_score_gemma":0.001363351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00709227,"about_ca_topic_score_gemma":0.007166408,"domain_scores_codex":[0.9976783,0.001454151,0.00006106622,0.000172434,0.0003515409,0.0002825155],"domain_scores_gemma":[0.9963583,0.002848851,0.0002997754,0.0001595313,0.0001577747,0.0001757226],"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":[0.00007626838,0.00004820712,0.002458385,0.0002297525,0.000007987672,0.0008127787,0.1342,0.0000943773,0.000383872,0.8366122,0.002495787,0.02258037],"study_design_scores_gemma":[0.00003938322,0.0001473515,0.02157198,0.001093036,0.000032847,0.001538674,0.3569359,0.0005296007,0.0007891667,0.1468867,0.4703954,0.0000399797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1502272,0.01802485,0.002222443,0.01072856,0.0005844379,0.00003638994,0.00004540816,0.00002799642,0.8181027],"genre_scores_gemma":[0.9807155,0.004380356,0.0005527689,0.000581403,0.00053393,0.00002384457,0.00002269489,0.00002012628,0.01316942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01505605,"threshold_uncertainty_score":0.02641219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376665046419141,"score_gpt":0.2037760401530148,"score_spread":0.1900093896888234,"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."}}