{"id":"W1981806529","doi":"10.1353/cpr.2014.0046","title":"“We Make the Path by Walking It”: Building an Academic Community Partnership With Boston Chinatown","year":2014,"lang":"en","type":"article","venue":"Progress in community health partnerships","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Center for Research Resources; National Institutes of Health; National Cancer Institute; NYU Langone Medical Center; York University; Tufts Medical Center","keywords":"Chinatown; General partnership; Public relations; Community-based participatory research; Participatory action research; Stakeholder; Citizen journalism; Community engagement; Political science; Variety (cybernetics); Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04316893,0.0004910137,0.0009500486,0.0002732643,0.002668134,0.00009773624,0.001418846,0.0004419473,0.00003083654],"category_scores_gemma":[0.01524486,0.0003248536,0.00008476773,0.0009871249,0.001256797,0.0002760275,0.00039364,0.01613519,0.00001459071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007952906,"about_ca_system_score_gemma":0.003371285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332013,"about_ca_topic_score_gemma":0.004829242,"domain_scores_codex":[0.9740185,0.01995242,0.001063537,0.000374623,0.001579492,0.003011482],"domain_scores_gemma":[0.9853373,0.005299679,0.0004446926,0.002377589,0.0001904793,0.006350284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002196733,0.002842633,0.3305078,0.006191423,0.0000693506,0.00003169405,0.06219642,0.000004607522,0.00003152732,0.003165826,0.01695153,0.5758105],"study_design_scores_gemma":[0.01520269,0.02045416,0.108482,0.01768622,0.000121082,0.0004107191,0.05010713,0.005495794,0.0005405262,0.004224817,0.7756814,0.001593452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8161076,0.004311149,0.0001909085,0.1750754,0.0000834075,0.001931849,0.00001163795,0.0002365161,0.002051549],"genre_scores_gemma":[0.9599179,0.001253413,0.0007176716,0.03729161,0.0002056592,0.0002964864,0.0001345666,0.00008280269,0.00009986206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7587299,"threshold_uncertainty_score":0.9999204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2900557732284472,"score_gpt":0.4951241209758862,"score_spread":0.205068347747439,"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."}}