{"id":"W2594886032","doi":"10.5539/jpl.v10n2p82","title":"Campaign Contribution Limits in California, Oregon & Washington: What a Difference It Makes","year":2017,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Political science; Public administration; Campaign finance; House of Representatives; Geography; Politics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003118644,0.0001301007,0.0002650885,0.001645326,0.002676924,0.005008357,0.0008783232,0.0006800428,0.007318098],"category_scores_gemma":[0.01141714,0.0001924989,0.0002221913,0.001537569,0.002197452,0.003590251,0.002062651,0.002149519,0.0004338012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731571,"about_ca_system_score_gemma":0.004420619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08574361,"about_ca_topic_score_gemma":0.210709,"domain_scores_codex":[0.9977347,0.0004292817,0.00010445,0.0002549771,0.0008312602,0.0006453791],"domain_scores_gemma":[0.9921941,0.003189326,0.001043847,0.0004011185,0.001636128,0.00153552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008896795,0.0008647672,0.4765649,0.0004492101,0.0002290237,0.0007522674,0.02787824,0.001468555,0.002337258,0.2046769,0.04997492,0.2339143],"study_design_scores_gemma":[0.00006343264,0.0001563282,0.6814837,0.0009739006,0.0001117382,0.00028143,0.06442065,0.0007711355,0.001706335,0.01888594,0.2310445,0.0001008175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7868954,0.00139702,0.000418943,0.01734027,0.0002353006,0.00002085697,0.0004814593,0.00003209185,0.1931787],"genre_scores_gemma":[0.9905262,0.0005951318,0.000138073,0.0007263304,0.00007953091,0.00002458898,0.0002735339,0.00001854694,0.007617901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08574361,"threshold_uncertainty_score":0.1704891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05935552466679511,"score_gpt":0.3619193331696473,"score_spread":0.3025638085028522,"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."}}