{"id":"W1798185958","doi":"","title":"Gendered discussion of politicians in news : how can we prepare future female politicians for media gender bias?","year":2015,"lang":"en","type":"article","venue":"VIUSpace (Vancouver Island University Library)","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Roads University","keywords":"Political science; Gender bias; Media bias; Public relations; Media studies; Politics; Sociology; Psychology; Social psychology; Law","routes":{"ca_aff":false,"ca_fund":true,"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":[0.02199282,0.0003699716,0.0005305163,0.002691139,0.01302035,0.01406009,0.001174432,0.001712889,0.007681706],"category_scores_gemma":[0.04638034,0.0003993117,0.000376769,0.002230001,0.01018694,0.009680899,0.003738873,0.003112997,0.001527854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01207994,"about_ca_system_score_gemma":0.01171828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06047162,"about_ca_topic_score_gemma":0.08535469,"domain_scores_codex":[0.9813589,0.01263338,0.0003903931,0.0008993375,0.00243303,0.002285019],"domain_scores_gemma":[0.9708212,0.01619816,0.004306552,0.0008957668,0.003884501,0.003893722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007151927,0.00004738116,0.03464765,0.0003958903,0.0000219192,0.0006938218,0.8752277,0.00002624258,0.0007416193,0.01406204,0.0112674,0.0627967],"study_design_scores_gemma":[0.000011917,0.00003606068,0.02072621,0.0009204423,0.00002406254,0.000282001,0.8468046,0.00008392327,0.0006389365,0.004276753,0.126162,0.00003320254],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816955,0.01006315,0.004835116,0.1552869,0.002096335,0.000175086,0.0002110925,0.00008320029,0.1455537],"genre_scores_gemma":[0.9742554,0.003213834,0.00102849,0.008552251,0.0004218964,0.0001112178,0.00007680989,0.00005469665,0.01228529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06047162,"threshold_uncertainty_score":0.1202393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280538775298145,"score_gpt":0.2571770041745439,"score_spread":0.2143716164215625,"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."}}