{"id":"W2972106594","doi":"10.1016/j.evalprogplan.2019.101715","title":"SenseMaker® as a monitoring and evaluation tool to provide new insights on gender-based violence programs and services in Lebanon","year":2019,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Community Health and Development","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Enhancing Learning and Research for Humanitarian Assistance; United Nations Population Fund","keywords":"Poison control; Service provider; Suicide prevention; Psychology; Medical education; Human factors and ergonomics; Service (business); Nursing; Medicine; Applied psychology; Medical emergency; Business; Marketing","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":[0.02054923,0.0004057608,0.0002632579,0.002202358,0.001588872,0.002043114,0.0008352224,0.0003587942,0.005185913],"category_scores_gemma":[0.02095184,0.0002821731,0.0003360952,0.00128247,0.0010602,0.002421811,0.003442622,0.0005681498,0.0002586608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532277,"about_ca_system_score_gemma":0.005078825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672772,"about_ca_topic_score_gemma":0.008937486,"domain_scores_codex":[0.9877312,0.009966838,0.000508475,0.000316826,0.001080331,0.0003963805],"domain_scores_gemma":[0.9859021,0.008866062,0.00188028,0.000684082,0.001914483,0.0007531393],"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":[0.001381717,0.001629603,0.09758915,0.002835589,0.0001403193,0.0006314714,0.1123435,0.001195091,0.007572221,0.008809425,0.01652024,0.7493516],"study_design_scores_gemma":[0.000684317,0.008655602,0.2700618,0.008610119,0.0003637617,0.0008064996,0.4056096,0.007710491,0.02790759,0.009710578,0.2595399,0.0003398506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392519,0.001436396,0.02305022,0.003732503,0.0002099972,0.003820982,0.002523505,0.0004976694,0.02547677],"genre_scores_gemma":[0.9289322,0.001090724,0.05715166,0.0008396452,0.00006375597,0.006482153,0.0006929333,0.0001078707,0.004639171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02054923,"threshold_uncertainty_score":0.108676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779886877959647,"score_gpt":0.5055921563928548,"score_spread":0.3276034685968902,"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."}}