{"id":"W4389118459","doi":"10.3389/fhumd.2023.1331252","title":"Editorial: Gender, violence and forced migration","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Human Dynamics","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Forced migration; Political science; Criminology; Sociology; Refugee; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006249685,0.006296746,0.005259323,0.006296597,0.00432204,0.008470461,0.004559573,0.01516324,0.03270229],"category_scores_gemma":[0.02852594,0.001360669,0.003657356,0.002290339,0.002426335,0.004924597,0.002074603,0.01332314,0.01973134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003819438,"about_ca_system_score_gemma":0.003730125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002842002,"about_ca_topic_score_gemma":0.006408103,"domain_scores_codex":[0.9948004,0.0009000159,0.0006130783,0.0006809967,0.002621328,0.0003840835],"domain_scores_gemma":[0.9825333,0.005997199,0.001237002,0.0004592488,0.006866897,0.002906385],"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":[0.00003172855,0.000008723263,0.00001787913,0.0001535981,0.00001140209,0.00006982508,0.00000779921,0.00001858106,0.00001919858,0.0001116534,0.9969643,0.002585399],"study_design_scores_gemma":[0.0001194696,0.00003891813,0.0003701668,0.0008591517,0.00007064685,0.0002795307,0.00006742108,0.0001726449,0.00009412858,0.001183834,0.9967158,0.00002842981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001992028,0.002708512,0.00004537456,0.01513841,0.9808266,0.00001984829,0.00006408249,0.00003653986,0.001140622],"genre_scores_gemma":[0.0003424132,0.003072099,0.00004675993,0.009195142,0.9796094,0.00002650208,0.00004061899,0.00002352677,0.007643573],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03270229,"threshold_uncertainty_score":0.1094001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449791501902339,"score_gpt":0.2949761089472447,"score_spread":0.2804781939282213,"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."}}