{"id":"W4401176850","doi":"10.1177/00222437241270225","title":"The Closing-the-Gap Effect: Joint Evaluation Leads Donors to Help Charities Farther from Their Goal","year":2024,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Assumption University; Ted Rogers Centre for Heart Research","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Salient; Context (archaeology); Donation; Profit (economics); Marketing; Perception; Closing (real estate); Phenomenon; Business; Public relations; Psychology; Economics; Computer science; Microeconomics; Political science","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":[0.1057887,0.00009913358,0.0001568563,0.0001531824,0.001527293,0.00102823,0.0005530994,0.00007315187,0.0003111122],"category_scores_gemma":[0.01025115,0.00005255407,0.0001533553,0.0005215429,0.0002908205,0.0001910212,0.0001270106,0.0009928886,0.0000449456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354085,"about_ca_system_score_gemma":0.0005054589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673911,"about_ca_topic_score_gemma":0.00177155,"domain_scores_codex":[0.9907228,0.006079253,0.000357984,0.0001706323,0.002089931,0.000579392],"domain_scores_gemma":[0.9887011,0.01031,0.00007938143,0.0001730634,0.0006088591,0.0001276143],"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":[0.001977357,0.00006409262,0.05352552,0.0001870054,0.0003985574,0.00005475035,0.09716027,0.0001295685,0.03393702,0.002486007,0.04976358,0.7603163],"study_design_scores_gemma":[0.001203453,0.001322395,0.2483461,0.005222201,0.0001543742,0.0000397175,0.122812,0.007411447,0.008145074,0.01869042,0.5859399,0.0007128642],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719219,0.005511233,0.00002970719,0.01192595,0.001284972,0.0003947182,0.000003035247,0.00002069386,0.00890776],"genre_scores_gemma":[0.9952983,0.0006154514,0.00002392629,0.00003969466,0.002583485,0.00002128293,3.887758e-7,0.00001941476,0.001398058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596034,"threshold_uncertainty_score":0.9997726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233108809132063,"score_gpt":0.435827481675238,"score_spread":0.3125166007620317,"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."}}