{"id":"W2146079234","doi":"10.1177/0899764010362113","title":"The Discerning Consumer: Is Nonprofit Status a Factor?","year":2010,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Purchasing; Government (linguistics); Public relations; Marketing; Sample (material); Nonprofit organization; Test (biology); Business; Front line; Nonprofit sector; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007254879,0.0004123775,0.0003660758,0.0001123437,0.00278107,0.000639873,0.0005533723,0.0003020455,0.001237775],"category_scores_gemma":[0.00008757442,0.0003206318,0.0001802435,0.0003298029,0.0009035348,0.0006367563,0.00006014328,0.001013896,0.0001701174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009489372,"about_ca_system_score_gemma":0.0002865183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02634121,"about_ca_topic_score_gemma":0.05273638,"domain_scores_codex":[0.9966053,0.0001957608,0.0004711549,0.0006668371,0.0006948268,0.00136617],"domain_scores_gemma":[0.9979746,0.0005036494,0.0001886646,0.0005729116,0.0001716913,0.0005884444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009363912,0.0000377579,0.8700858,0.00003611761,0.0001006912,0.00001282939,0.04615067,3.706026e-8,0.009155606,0.004602887,0.001682428,0.06804159],"study_design_scores_gemma":[0.001316524,0.0005500235,0.5379181,0.0000487221,0.00008457837,0.000016987,0.02178648,0.0002804811,0.0008348587,0.001830433,0.4341604,0.001172388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881408,0.000757205,0.00008096263,0.001229456,0.002867901,0.0006630154,0.0001180298,0.0002731608,0.005869471],"genre_scores_gemma":[0.9940819,0.0001883584,0.0002826485,0.0003676708,0.001229725,0.00006858695,0.00001506699,0.00006205669,0.003704053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.432478,"threshold_uncertainty_score":0.9999246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576910607371333,"score_gpt":0.2835116656183189,"score_spread":0.2677425595446055,"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."}}