{"id":"W4320482651","doi":"10.32920/22090655","title":"News by Numbers: The evolution of analytics in journalism","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Social media; Journalism; Social media analytics; DECIPHER; Public relations; Computer science; Political science; Internet privacy; Sociology; Advertising; Media studies; World Wide Web; Business; Data science","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":[0.05412372,0.001007861,0.001165089,0.01541725,0.003977148,0.03823768,0.002645348,0.003528054,0.008499409],"category_scores_gemma":[0.1229582,0.001141902,0.0008374274,0.0182537,0.02904885,0.05206747,0.009485704,0.00648605,0.002150136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01172448,"about_ca_system_score_gemma":0.008953643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007747461,"about_ca_topic_score_gemma":0.004342891,"domain_scores_codex":[0.9541838,0.02732117,0.002363798,0.005074465,0.009640879,0.001415874],"domain_scores_gemma":[0.7286605,0.2160487,0.009777772,0.0207844,0.01751409,0.007214478],"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":[0.0001209108,0.00009070442,0.007691013,0.0009871487,0.00005070106,0.00008958854,0.02114986,0.0007959371,0.0006202549,0.6369718,0.02037889,0.3110532],"study_design_scores_gemma":[0.00003588687,0.0001220743,0.008975655,0.002333084,0.00003062079,0.000270329,0.01314246,0.004220816,0.001232969,0.4536534,0.5158316,0.0001511137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07093058,0.1160174,0.155259,0.2593343,0.006311189,0.0004189503,0.001995706,0.003516205,0.3862167],"genre_scores_gemma":[0.7781387,0.06578125,0.09650256,0.01316528,0.01251154,0.0005927599,0.001077287,0.002630663,0.0296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05412372,"threshold_uncertainty_score":0.286237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07976298190191401,"score_gpt":0.3674893704422288,"score_spread":0.2877263885403148,"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."}}