{"id":"W3048934119","doi":"10.1158/1538-7755.disp18-b096","title":"Abstract B096: Responding to stakeholder needs for cancer screening and prevention: Using formative evaluation to tailor outreach and navigation programming in Connecticut","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inro Consultants (Canada)","funders":"","keywords":"Outreach; Stakeholder; Baseline (sea); Formative assessment; Population; Health equity; Cancer prevention; Implementation research; Medical education; Medicine; Business; Public relations; Psychology; Nursing; Political science; Environmental health; Public health; Cancer; Psychological intervention","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":[0.1850863,0.001945011,0.0007915107,0.0019691,0.00475416,0.006428139,0.0045309,0.002156503,0.004291023],"category_scores_gemma":[0.1320314,0.0008894235,0.001325055,0.001881476,0.004533237,0.004013416,0.006479776,0.003673001,0.0005946496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02381663,"about_ca_system_score_gemma":0.05389342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603857,"about_ca_topic_score_gemma":0.03095698,"domain_scores_codex":[0.8631299,0.1194059,0.003515192,0.002336545,0.00772221,0.003890258],"domain_scores_gemma":[0.8950121,0.06424526,0.005691055,0.005834472,0.02427071,0.004946455],"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":[0.005396527,0.04471149,0.0336104,0.009896124,0.0004727978,0.001029321,0.1747786,0.006663354,0.009211627,0.00833468,0.02014147,0.6857536],"study_design_scores_gemma":[0.01710219,0.1541422,0.1345373,0.03876923,0.002146196,0.0005545922,0.3705839,0.01667997,0.0692334,0.01902682,0.1762161,0.001008178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8109909,0.001070817,0.02750004,0.009138951,0.0005979597,0.1118637,0.001272744,0.0006151335,0.03694977],"genre_scores_gemma":[0.7365766,0.001495342,0.1406244,0.003122012,0.0001223802,0.1112185,0.0009160913,0.000137354,0.005787396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1850863,"threshold_uncertainty_score":0.9788414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4481452261315211,"score_gpt":0.5720769681829189,"score_spread":0.1239317420513977,"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."}}