{"id":"W1950697498","doi":"10.5334/sta.cs","title":"Gender-Specific Election Violence: The Role of Information and Communication Technologies","year":2013,"lang":"en","type":"article","venue":"Stability International Journal of Security and Development","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Harm; Information and Communications Technology; ICTS; Empowerment; Politics; Political science; Public relations; Criminology; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00231801,0.0002858838,0.0002520649,0.001181589,0.002494026,0.005723139,0.000698973,0.001632925,0.02227332],"category_scores_gemma":[0.008924284,0.0001781784,0.000369278,0.001307816,0.002770918,0.003534764,0.002502069,0.0013959,0.001361279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483664,"about_ca_system_score_gemma":0.002322434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007239608,"about_ca_topic_score_gemma":0.008709733,"domain_scores_codex":[0.9977163,0.001207607,0.000066745,0.0002160374,0.0003457935,0.0004476458],"domain_scores_gemma":[0.9939756,0.004074891,0.0007867849,0.0001429164,0.0003973466,0.0006224973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002929914,0.000261882,0.1796367,0.001517079,0.0001109227,0.002387707,0.1179299,0.0002318377,0.0006596726,0.1170044,0.08556446,0.4944024],"study_design_scores_gemma":[0.000034025,0.0003200725,0.2564669,0.005371211,0.00009229216,0.00474811,0.2723508,0.0007170389,0.000810715,0.04609852,0.4129007,0.00008955984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3796095,0.04563995,0.003242789,0.1825562,0.003402185,0.0001849966,0.001103817,0.00009897945,0.3841617],"genre_scores_gemma":[0.9517652,0.02153683,0.0006323857,0.007272008,0.0008852115,0.00008928334,0.0002349175,0.00004351638,0.01754064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02227332,"threshold_uncertainty_score":0.07451171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828493605753467,"score_gpt":0.2651911543378503,"score_spread":0.2469062182803156,"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."}}