{"id":"W7100873513","doi":"","title":"Acknowledgements Valuable assistance in preparation of this study was provided by","year":2000,"lang":"en","type":"article","venue":"","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Salient; Logistic regression; Public policy; Portrait; Statistical analysis; Statistics education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01834485,0.001080932,0.002063941,0.003131279,0.003322403,0.002269783,0.003379059,0.0006419644,0.2515906],"category_scores_gemma":[0.07306216,0.000469588,0.0007278569,0.003815018,0.00142849,0.001717008,0.002756596,0.002418437,0.04249378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009068482,"about_ca_system_score_gemma":0.02473997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2297043,"about_ca_topic_score_gemma":0.4321685,"domain_scores_codex":[0.990755,0.003559397,0.000669622,0.0007384658,0.003671927,0.0006054466],"domain_scores_gemma":[0.9129065,0.01856731,0.002101055,0.004515208,0.05386404,0.008045978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005222414,0.0001655648,0.004411595,0.0006104648,0.00001592293,0.0008455737,0.01111026,0.0004677535,0.002114043,0.003131047,0.8622004,0.1144051],"study_design_scores_gemma":[0.000129714,0.0001391102,0.02056186,0.0009997784,0.00004163797,0.0003101488,0.02197753,0.001109695,0.001053212,0.00222805,0.9513665,0.00008267727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09306632,0.003937772,0.05173725,0.1028499,0.04924049,0.06423055,0.2169608,0.003587365,0.4143895],"genre_scores_gemma":[0.217867,0.008716655,0.09589224,0.01582292,0.01209347,0.0352887,0.05225669,0.004206056,0.5578564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7484094,"threshold_uncertainty_score":0.8416543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468756744063302,"score_gpt":0.3549317526811793,"score_spread":0.3302441852405463,"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."}}