{"id":"W2922475512","doi":"10.1109/mts.2019.2894473","title":"Don?t Trust #CDNMedia: Twitter Posts From Eight Canadian Communities During #elxn42","year":2019,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Politics; Social media; News media; Knight; Public relations; Political science; Commission; Internet privacy; Closing (real estate); Business; Advertising; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726201,0.0001500317,0.0002431901,0.0001255636,0.0006910806,0.00005018335,0.000315219,0.0006506927,0.0004893034],"category_scores_gemma":[0.00004700476,0.0001554793,0.00008340781,0.0003727391,0.0010276,0.0001375189,0.00005220119,0.0005707122,0.0002349039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578445,"about_ca_system_score_gemma":0.0002718944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1066452,"about_ca_topic_score_gemma":0.1547026,"domain_scores_codex":[0.9988296,0.00009210447,0.0001569129,0.0001752453,0.0001727192,0.0005734049],"domain_scores_gemma":[0.9992115,0.0002084073,0.00005423325,0.0002540822,0.00007492401,0.0001968559],"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":[0.00001025485,0.00005228549,0.7242116,0.00003877988,0.000180258,0.00002701124,0.2193482,7.749265e-7,0.003002094,0.0347131,0.0175617,0.0008539412],"study_design_scores_gemma":[0.002154177,0.0001235197,0.146317,0.0001250749,0.0001178375,0.00001201591,0.4013984,0.00004599833,0.002501194,0.04000764,0.4061728,0.001024278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699314,0.0003118715,0.000003016639,0.01640004,0.001021433,0.0001992208,0.00005478972,0.00018494,0.01189335],"genre_scores_gemma":[0.992889,0.0009526458,0.0002303639,0.002292379,0.0003204576,0.00001734349,0.00002018,0.00001780272,0.00325978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5778946,"threshold_uncertainty_score":0.8993038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186618962005274,"score_gpt":0.2511041124105481,"score_spread":0.2392379227904954,"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."}}