{"id":"W4405766145","doi":"10.1080/26408066.2024.2446935","title":"Using an Online Measurement Data Management Platform to Improve Survey Response Rates in a Community Sexual Assault Centre","year":2024,"lang":"en","type":"article","venue":"Journal of Evidence-Based Social Work","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mental health; Data collection; Sexual assault; Psychology; Pandemic; Coronavirus disease 2019 (COVID-19); Survey data collection; Applied psychology; Nursing; Medicine; Medical emergency; Human factors and ergonomics; Poison control; Psychiatry; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1124716,0.0005815707,0.0006133021,0.002019244,0.001589094,0.002923414,0.002753357,0.001021085,0.006717228],"category_scores_gemma":[0.215278,0.0006966338,0.0008400124,0.001570654,0.0009520303,0.005110855,0.005237552,0.002185015,0.001148911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234664,"about_ca_system_score_gemma":0.01204001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002900498,"about_ca_topic_score_gemma":0.003790082,"domain_scores_codex":[0.9086922,0.07321586,0.004822838,0.00267432,0.007185172,0.003409627],"domain_scores_gemma":[0.7372916,0.1772569,0.02707892,0.02038363,0.02490542,0.01308354],"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":[0.002258388,0.01339839,0.2693126,0.001692546,0.0001739696,0.0003760536,0.01246385,0.00225367,0.005234139,0.0008832322,0.01350068,0.6784525],"study_design_scores_gemma":[0.002197726,0.0218279,0.8448473,0.003984942,0.0003380836,0.0006603996,0.02158844,0.03607662,0.0170011,0.002659051,0.04834248,0.0004758867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254714,0.0002466123,0.03355752,0.009694219,0.0004198335,0.02035983,0.001169665,0.001914943,0.007166006],"genre_scores_gemma":[0.8766459,0.0001752498,0.1008806,0.001772662,0.0002029135,0.01828286,0.0007995515,0.0001237826,0.001116537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1124716,"threshold_uncertainty_score":0.5948138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6565038878086832,"score_gpt":0.5088438038468942,"score_spread":0.147660083961789,"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."}}