{"id":"W2157808260","doi":"10.22230/cjc.2008v33n2a1974","title":"Mapping the Geography of Online News","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Newspaper; News values; Value (mathematics); Tel aviv; The Internet; Product (mathematics); Media studies; Advertising; Geography; Sociology; Political science; Library science; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006907125,0.0000381405,0.0001057931,0.0001368949,0.0009623509,0.00001232781,0.0009609981,0.00003403732,0.0000404651],"category_scores_gemma":[0.0003057552,0.00002969475,0.00007575696,0.0003404116,0.0005709899,0.0001066754,0.00002378369,0.0001934133,0.000001405468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005718676,"about_ca_system_score_gemma":0.0008436703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0621712,"about_ca_topic_score_gemma":0.2916735,"domain_scores_codex":[0.9990501,0.0003631143,0.0002879422,0.00002596597,0.0001568109,0.0001160635],"domain_scores_gemma":[0.9984945,0.0002183248,0.00035404,0.0004337492,0.0003649008,0.0001344529],"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":[0.00001809808,0.0001192898,0.5545821,0.00001310432,0.0002170603,0.000006842452,0.2281346,0.0001011629,0.00007984675,0.04218908,0.03006581,0.144473],"study_design_scores_gemma":[0.0001736045,0.00003010804,0.3009268,0.00007444592,0.00001395175,0.00001127085,0.0321212,0.00001786614,0.00001031989,0.002263585,0.6642913,0.00006553793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710303,0.02330153,0.0001568058,0.07288837,0.0002356278,0.0001759294,0.000006419426,0.000005732878,0.03219931],"genre_scores_gemma":[0.9849873,0.01376586,0.000864405,0.000262921,0.00006982875,0.000001335974,0.000003248784,0.000003071493,0.0000419808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6342255,"threshold_uncertainty_score":0.9440739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07388069278161283,"score_gpt":0.2919272627039527,"score_spread":0.2180465699223399,"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."}}