{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05563373,0.0001792417,0.0003281102,0.0003362932,0.001777311,0.0005984202,0.001121287,0.000181845,0.0002502881],"category_scores_gemma":[0.01242193,0.0001624796,0.00008381756,0.003678879,0.0001457768,0.001657333,0.0001400788,0.001137035,0.00002215666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652158,"about_ca_system_score_gemma":0.002772486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004480053,"about_ca_topic_score_gemma":0.02155854,"domain_scores_codex":[0.987269,0.009608377,0.0007235483,0.0002600711,0.001705903,0.0004331069],"domain_scores_gemma":[0.9930916,0.005012881,0.0003833625,0.0003704771,0.0008408387,0.0003008638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.03736908,0.008537386,0.1130021,0.000590043,0.001316822,0.0006073307,0.3487221,0.001781302,0.001748628,0.002975244,0.152085,0.3312649],"study_design_scores_gemma":[0.001534814,0.000664771,0.4703698,0.003220629,0.0004549702,0.00000293449,0.334814,0.0003992185,0.00006209868,0.001366263,0.1861371,0.0009733802],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203085,0.0009813173,0.0007635847,0.07440473,0.002664772,0.0005799213,0.00006921682,0.00004679947,0.0001811804],"genre_scores_gemma":[0.9951603,0.00005912299,0.002274243,0.001001681,0.000993488,0.00000324891,0.00001854886,0.00002414669,0.0004651861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3573678,"threshold_uncertainty_score":0.9995223,"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."}}