{"id":"W4390584793","doi":"10.3389/fpos.2023.1291890","title":"Lobbying the executives: differences in lobbying patterns between elected politicians, partisan advisors and public servants","year":2024,"lang":"en","type":"article","venue":"Frontiers in Political Science","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance; University of Ottawa","funders":"","keywords":"Politics; Government (linguistics); Legislature; Political science; Nexus (standard); Public administration; Representativeness heuristic; Public relations; Law; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001513122,0.0001263516,0.0002784735,0.002774717,0.001174213,0.002044442,0.00057841,0.0005240483,0.006227805],"category_scores_gemma":[0.006637471,0.0001945568,0.0002150482,0.002475537,0.0009041866,0.001042427,0.00146206,0.0007722001,0.001484645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662799,"about_ca_system_score_gemma":0.001561559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08591165,"about_ca_topic_score_gemma":0.2008138,"domain_scores_codex":[0.9982837,0.0002690363,0.0001064536,0.000226505,0.0003156932,0.0007984993],"domain_scores_gemma":[0.9909985,0.001671269,0.003900511,0.0002935915,0.001220695,0.001915405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006928324,0.0000398296,0.9825748,0.00001684259,0.0000156381,0.00007680916,0.008553449,0.00002258193,0.0001927429,0.0003687872,0.000929863,0.007139307],"study_design_scores_gemma":[0.000002123067,0.00001271306,0.9864907,0.00001459276,0.000002957994,0.0000388581,0.01224267,0.00004120529,0.00003619663,0.00004567865,0.001068853,0.000003528616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955942,0.0001648419,0.00005235845,0.0002144014,0.000003516285,0.00001059333,0.0002373925,0.00000426371,0.003718325],"genre_scores_gemma":[0.9967962,0.0001554148,0.00004997066,0.00006662846,0.00001040147,0.00001354888,0.0004432649,0.000006146756,0.002458445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08591165,"threshold_uncertainty_score":0.1708232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727287100126085,"score_gpt":0.2637561884409496,"score_spread":0.2264833174396887,"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."}}