{"id":"W2118670624","doi":"","title":"Lending a Hand: How Federal Tax Policy Could Help Get More Cash to More Charities","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash; Donation; Business; Finance; Tax credit; Monetary economics; Public economics; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001882366,0.0003648424,0.0006184838,0.0008178654,0.001149351,0.001305588,0.001251165,0.0006700461,0.00007888118],"category_scores_gemma":[0.001967078,0.0004542264,0.0002330996,0.0003361004,0.00104625,0.0002479113,0.0006940995,0.001774594,0.00001519681],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004825356,"about_ca_system_score_gemma":0.004755356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2257274,"about_ca_topic_score_gemma":0.3542777,"domain_scores_codex":[0.9958532,0.0003239254,0.000414105,0.0009658462,0.0006324619,0.001810491],"domain_scores_gemma":[0.9977906,0.0003132717,0.0001981588,0.0007609542,0.0001408205,0.0007961621],"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":[0.0003623876,0.0003091859,0.01041433,0.0006605448,0.0003141406,0.0007320868,0.1705783,0.006620813,0.0002152123,0.09340569,0.1227068,0.5936804],"study_design_scores_gemma":[0.0005129001,0.00009502911,0.01438325,0.0005687428,0.000006484238,0.0000123261,0.01397823,0.0004602733,0.00009820599,0.006651735,0.9622411,0.0009917348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5762401,0.0004003594,0.000004071682,0.2637972,0.0006795392,0.002062447,0.002504123,0.00009106471,0.1542212],"genre_scores_gemma":[0.8971478,0.01058567,0.0002709723,0.005933097,0.003655961,0.0002910524,0.00004768874,0.00007878814,0.08198898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8395343,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903033204720135,"score_gpt":0.3711622070831632,"score_spread":0.3221318750359618,"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."}}