{"id":"W4413445748","doi":"10.1016/j.crbeha.2025.100184","title":"The lone dissenter as a non-conformist in the Supreme Court: Extension of past research, cross-cultural analysis and influence model development","year":2025,"lang":"en","type":"article","venue":"Current Research in Behavioral Sciences","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conformist; Supreme court; Extension (predicate logic); Law; Sociology; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01121701,0.00009085752,0.000166721,0.0004542265,0.00379658,0.0005499526,0.0008700895,0.0000437958,0.000005163032],"category_scores_gemma":[0.0005385178,0.00004781664,0.00004666081,0.004879742,0.01218859,0.0004559303,0.0004159776,0.0004604715,0.000003861766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784484,"about_ca_system_score_gemma":0.0008917769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03067582,"about_ca_topic_score_gemma":0.05073948,"domain_scores_codex":[0.9961998,0.0004538614,0.0003453312,0.0003354591,0.001978881,0.0006865968],"domain_scores_gemma":[0.9983053,0.0005424981,0.00004700364,0.0001428637,0.0008897858,0.00007259547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004549079,0.0002714259,0.9246713,0.00001025189,0.000009559435,0.00000491938,0.01343151,0.0002382874,0.0002236004,0.03785792,0.000190923,0.02304481],"study_design_scores_gemma":[0.0001667299,0.00005361363,0.9500096,0.0001960698,0.00000978785,3.022159e-7,0.0304642,0.000599342,0.0001157335,0.01642454,0.001861805,0.00009822639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915839,0.0009111621,0.000007584149,0.003027263,0.00005710575,0.0004196499,0.000003272587,0.000004087002,0.003985966],"genre_scores_gemma":[0.998934,0.000815492,0.00002231263,0.000009286003,0.000020407,0.0001086686,0.000001656523,9.24632e-7,0.00008720016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02533835,"threshold_uncertainty_score":0.9975004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2725868746262662,"score_gpt":0.5677285883142892,"score_spread":0.2951417136880229,"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."}}