{"id":"W7095614344","doi":"","title":"Is Information Enough? eGovernment and the Information Response for Women Experiencing Domestic Violence","year":2014,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domestic violence; Government (linguistics); Poison control; Information center; Human factors and ergonomics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.005203984,0.0001712876,0.0003262818,0.001591883,0.005905187,0.00601042,0.0009262864,0.001404969,0.006372715],"category_scores_gemma":[0.0377914,0.0002562203,0.0002480912,0.002397185,0.005118248,0.002636139,0.003953476,0.00158556,0.0004788045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009223888,"about_ca_system_score_gemma":0.0126078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2918584,"about_ca_topic_score_gemma":0.2954892,"domain_scores_codex":[0.9920651,0.004474332,0.0003297193,0.0002530569,0.001381479,0.00149631],"domain_scores_gemma":[0.980656,0.01004843,0.004314377,0.0006976286,0.002792322,0.001491203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001223033,0.0001162691,0.1131436,0.0004083922,0.00003275463,0.0006055421,0.8366023,0.00005073813,0.0005262587,0.004597573,0.003381579,0.0404127],"study_design_scores_gemma":[0.000007891285,0.00007184339,0.06725948,0.0003003836,0.00002035039,0.000250586,0.9035114,0.00005830748,0.0002373369,0.0005498078,0.02770108,0.00003148051],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535381,0.001254257,0.0002632797,0.01129581,0.00005882043,0.00006965011,0.0001562129,0.00001672374,0.0333473],"genre_scores_gemma":[0.9957286,0.0007162888,0.0001340677,0.0007772595,0.00001460687,0.00001745838,0.0000432503,0.00000721555,0.002561308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2918584,"threshold_uncertainty_score":0.5803192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006106095816966084,"score_gpt":0.2630608885869893,"score_spread":0.2569547927700232,"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."}}