{"id":"W2202994874","doi":"10.1353/cpr.2015.0064","title":"Using Knowledge Exchange to Build and Sustain Community Support to Reduce Cancer Screening Inequities","year":2015,"lang":"en","type":"article","venue":"Progress in community health partnerships","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Knowledge management; Health equity; Computer science; Psychology; Sociology; Public relations; Political science; Medicine; Nursing; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03842698,0.0003684972,0.0007933356,0.0008355225,0.004582579,0.00006965129,0.001091815,0.0002173795,0.00007778667],"category_scores_gemma":[0.003275645,0.0003929901,0.00003209374,0.001897303,0.0003666284,0.0004505361,0.002275977,0.003784066,0.00005468983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002371724,"about_ca_system_score_gemma":0.004407983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05445781,"about_ca_topic_score_gemma":0.178397,"domain_scores_codex":[0.9692332,0.0258306,0.001651928,0.0003602494,0.0006123641,0.002311643],"domain_scores_gemma":[0.9912197,0.003650353,0.0005333935,0.001244519,0.0007559138,0.002596113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002048713,0.0001471994,0.3782873,0.002550816,0.000009382748,0.000002540004,0.5734912,0.00003195075,0.000004042785,0.0005499047,0.02464438,0.02007643],"study_design_scores_gemma":[0.003998598,0.001534154,0.08743615,0.003248475,0.00001694147,0.00001123952,0.4506714,0.0006534679,0.00003913682,0.0006420416,0.450843,0.0009054357],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190146,0.00091848,0.0007332091,0.07321294,0.0005305712,0.003841782,0.0001320664,0.0002048917,0.00141145],"genre_scores_gemma":[0.940535,0.00006471867,0.008453897,0.04873605,0.000284425,0.00151854,0.00002587384,0.00006284662,0.0003186269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4261986,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9029032596754493,"score_gpt":0.7220533852352033,"score_spread":0.1808498744402459,"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."}}