{"id":"W1493555280","doi":"10.22230/cjc.2014v39n4a2746","title":"Algorithmic Media Need Democratic Methods: Why Publics Matter","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Social Media and Politics","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Deliberation; Publics; The Internet; Control (management); Democracy; Computer science; New media; Public opinion; Politics; Public relations; Political science; Data science; Sociology; World Wide Web; Artificial intelligence; Law","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":[0.001822022,0.00006570057,0.0001639437,0.0002062594,0.0004998224,0.0001358151,0.0007238389,0.000115491,0.0002808619],"category_scores_gemma":[0.002671615,0.00006725971,0.00006798379,0.0002569633,0.0003357887,0.0002759847,0.00001174595,0.0002905166,0.00003724698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229447,"about_ca_system_score_gemma":0.001295414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03049018,"about_ca_topic_score_gemma":0.1328083,"domain_scores_codex":[0.9976528,0.001525622,0.000310136,0.00004533987,0.0001907964,0.0002753402],"domain_scores_gemma":[0.9973035,0.001091072,0.0002520175,0.0002888833,0.0003931144,0.0006713745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000812603,0.0000441356,0.08730236,0.00002228983,0.0001271099,0.000006800411,0.2354567,0.0000164651,0.000142536,0.2155057,0.2706143,0.1907534],"study_design_scores_gemma":[0.0002435323,0.00002304723,0.007172583,0.00005253775,0.00004923038,0.000008722218,0.01663128,0.0001062429,0.00006715503,0.1032971,0.8722021,0.0001464482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2691273,0.00636708,0.05983865,0.4033138,0.008827418,0.0007892105,0.00002482388,0.00007596988,0.2516357],"genre_scores_gemma":[0.9682439,0.0001359358,0.02681793,0.003895867,0.0007156084,0.000003187291,0.000005718497,0.00001347596,0.0001683889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6991166,"threshold_uncertainty_score":0.9759659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396794359083881,"score_gpt":0.3440851410828726,"score_spread":0.3044057051744845,"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."}}