{"id":"W3158348143","doi":"10.1111/gove.12594","title":"Institutional proximity and judicial corruption: A spatial approach","year":2021,"lang":"en","type":"article","venue":"Governance","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Operationalization; Politics; Language change; Context (archaeology); Political science; China; Complement (music); Law and economics; Law; Sociology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418133,0.00006423609,0.0001040864,0.000005520757,0.000953273,0.00004112662,0.00006706332,0.00005060692,0.00009158483],"category_scores_gemma":[0.0002865238,0.00006539794,0.00003221566,0.0001565955,0.0007299494,0.0001825311,0.00006820446,0.00008676167,0.00002023607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008837846,"about_ca_system_score_gemma":0.0005627126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007350871,"about_ca_topic_score_gemma":0.006585493,"domain_scores_codex":[0.9991122,0.00004660225,0.00009735525,0.000199491,0.0003783131,0.000166029],"domain_scores_gemma":[0.9996953,0.00002671242,0.00005035042,0.00005380296,0.0001156363,0.0000581688],"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":[0.00001310797,0.00005981512,0.01181006,0.000004096474,0.00001208512,0.00001564081,0.0007042275,0.000007077325,0.00002643421,0.9743257,0.0006335319,0.01238819],"study_design_scores_gemma":[0.0004862504,0.00001736487,0.4117121,0.00004005985,0.00002222511,0.00002264131,0.0007625577,0.00007780973,0.00005753994,0.03539573,0.5511552,0.0002505623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1863437,0.004845839,0.01018321,0.007186402,0.001327808,0.0002643932,0.00008584034,0.0001004761,0.7896624],"genre_scores_gemma":[0.9968154,0.0007138932,0.0005497237,0.0003773758,0.0008789132,0.00001619453,0.000005454218,0.000001950039,0.0006410545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.93893,"threshold_uncertainty_score":0.9992593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272471462032246,"score_gpt":0.2656881602014818,"score_spread":0.2384410139982572,"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."}}