{"id":"W1486912813","doi":"","title":"Consolidation of Cyberjournalism: Progress and Regressions of 20 Years of History","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Media and Digital Communication","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interactivity; Globalization; Consolidation (business); Technological convergence; Personalization; The Internet; Newspaper; Computer science; Latin Americans; Technological change; World Wide Web; Advertising; Political science; Business; Telecommunications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003162401,0.0002930947,0.0004221051,0.0103995,0.001429585,0.005476952,0.0007504549,0.0005533735,0.01149721],"category_scores_gemma":[0.01659483,0.0002096951,0.0003477444,0.0157677,0.002811079,0.006355715,0.002925191,0.001038061,0.001301675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532443,"about_ca_system_score_gemma":0.001237134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00350377,"about_ca_topic_score_gemma":0.003677273,"domain_scores_codex":[0.9980573,0.0006112328,0.0001624949,0.0003631249,0.000495254,0.0003104738],"domain_scores_gemma":[0.9726924,0.0108901,0.007831141,0.002019298,0.003937667,0.002629362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002424689,0.0002187357,0.824676,0.0004099981,0.0001839258,0.0004836398,0.02477985,0.000501027,0.0004249793,0.04130227,0.005208179,0.1015689],"study_design_scores_gemma":[0.00000697838,0.0001029711,0.9100611,0.0003198698,0.00007316312,0.0003536262,0.02170021,0.001089772,0.0006985476,0.004206217,0.06136292,0.00002450987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272878,0.007814564,0.0009023845,0.001600929,0.0001274788,0.000046799,0.001344425,0.00004847932,0.06082708],"genre_scores_gemma":[0.99371,0.001823325,0.0002169468,0.00005213999,0.0001833354,0.00002275504,0.0007965353,0.00003019793,0.003164642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149721,"threshold_uncertainty_score":0.03846198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531187720066157,"score_gpt":0.3191638350659297,"score_spread":0.2838519578652681,"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."}}