{"id":"W4320724765","doi":"10.32920/22094273.v1","title":"Participative Gatekeeping: The Intersection of News, Audience Data, Newsworkers, and Economics","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gatekeeping; Public relations; Sociology; Analytics; Citizen journalism; Agency (philosophy); Political science; Advertising; Data science; Computer science; Social science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05768918,0.0006157057,0.0007854717,0.006917829,0.01012666,0.03053618,0.002831813,0.003499896,0.005950533],"category_scores_gemma":[0.08316438,0.0009438822,0.0006295986,0.006569659,0.04148101,0.02967413,0.01529732,0.003926525,0.0006916618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007730456,"about_ca_system_score_gemma":0.008961347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138956,"about_ca_topic_score_gemma":0.005067965,"domain_scores_codex":[0.9245857,0.06189172,0.001551469,0.003570842,0.006511404,0.001888875],"domain_scores_gemma":[0.7997741,0.168968,0.009195594,0.01284416,0.005603785,0.003614372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007216423,0.0001201362,0.01172647,0.0003391984,0.0000438909,0.0004406648,0.2232986,0.0006565682,0.0004183463,0.6625283,0.003141565,0.09721414],"study_design_scores_gemma":[0.00004087993,0.0001556848,0.01045558,0.001488684,0.00003803595,0.0003073964,0.1987447,0.002724039,0.0009099269,0.5962069,0.1888232,0.0001049688],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2677082,0.007550102,0.2153588,0.06120585,0.001008109,0.000619463,0.0002375259,0.0004005917,0.4459114],"genre_scores_gemma":[0.9695868,0.001384847,0.01708243,0.001264489,0.0002966878,0.0003424555,0.00005321344,0.000149195,0.009839918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05768918,"threshold_uncertainty_score":0.3050932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.277494828717342,"score_gpt":0.4040395509166113,"score_spread":0.1265447221992693,"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."}}