{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002996461,0.0003901803,0.0003933354,0.001009873,0.008055846,0.008911637,0.001204721,0.005459394,0.02778314],"category_scores_gemma":[0.01142755,0.0002483392,0.0005543475,0.00146396,0.004361751,0.0058178,0.001606175,0.003919062,0.001801098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02724825,"about_ca_system_score_gemma":0.04126231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7085465,"about_ca_topic_score_gemma":0.7609212,"domain_scores_codex":[0.9981303,0.0005375916,0.00003271405,0.0001444965,0.0003445579,0.0008103839],"domain_scores_gemma":[0.9969639,0.0009484962,0.0001243207,0.0001956034,0.001028585,0.0007390821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001121339,0.0001241088,0.004104072,0.00008792194,0.00003542749,0.0002227079,0.001604774,0.002161505,0.000248279,0.6317086,0.3038377,0.05575275],"study_design_scores_gemma":[0.0001553662,0.00006087964,0.008956661,0.0005373028,0.0001241962,0.0001451719,0.008500777,0.00737064,0.001429535,0.4127648,0.5598183,0.0001364504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03034642,0.003665595,0.008176572,0.6188988,0.002176695,0.00009243735,0.0005899754,0.0004273202,0.3356261],"genre_scores_gemma":[0.7840452,0.00474374,0.008631473,0.0443172,0.0008089538,0.00007178736,0.0002946863,0.0001422279,0.1569447],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2914535,"threshold_uncertainty_score":0.5863398,"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."}}