{"id":"W4321506066","doi":"10.2139/ssrn.4361565","title":"Donor Activity is Associated with US Legislators’ Attention to Political Issues","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Religion, Society, and Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université de Montréal","funders":"","keywords":"Politics; Political science; Public administration; Psychology; Public relations; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004416747,0.0000853286,0.0002223576,0.00129578,0.00186028,0.002883686,0.0003934098,0.001327512,0.01718735],"category_scores_gemma":[0.03010944,0.0002127165,0.0002145113,0.002608622,0.001142489,0.0007555435,0.002137834,0.002258128,0.001003344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437415,"about_ca_system_score_gemma":0.00338017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01359601,"about_ca_topic_score_gemma":0.04122626,"domain_scores_codex":[0.9973854,0.001162101,0.0001477012,0.0001534205,0.0004267155,0.0007246828],"domain_scores_gemma":[0.9416868,0.0244787,0.02070761,0.001524849,0.005079992,0.006522083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002777609,0.0005914601,0.918038,0.0001172951,0.00008881718,0.0001783242,0.00681211,0.0001221266,0.0006375108,0.007339329,0.01962024,0.04617693],"study_design_scores_gemma":[0.00001603078,0.00006613263,0.9541929,0.00008862439,0.00003319613,0.0001023557,0.01240692,0.0001268155,0.000266706,0.00116811,0.03151875,0.00001354613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094011,0.001150058,0.0002601203,0.01404423,0.0001870859,0.00003428835,0.0003480591,0.00002127531,0.07455378],"genre_scores_gemma":[0.9911937,0.0005505274,0.00008597245,0.001532398,0.00009100657,0.00001735349,0.0001747907,0.00001183385,0.006342495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718735,"threshold_uncertainty_score":0.05749744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652071932960947,"score_gpt":0.3115941249474012,"score_spread":0.2950734056177918,"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."}}