{"id":"W3046256170","doi":"10.1177/08438714211037685","title":"‘Arbitrary and cruel punishments’: Trends in Royal Navy courts martial, 1860–1869","year":2021,"lang":"en","type":"article","venue":"International Journal of Maritime History","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Navy; Minor (academic); Law; Martial law; Military justice; Legislature; Political science; Corporate governance; Punishment (psychology); History; Management; Psychology; Politics; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003655047,0.0001049475,0.0003735155,0.0003062794,0.0000449457,0.00003103013,0.0001983373,0.00008266723,0.002938396],"category_scores_gemma":[0.0001130606,0.0001341164,0.0001471477,0.00004753949,0.0001013855,0.0002135776,0.00007801568,0.0002466145,0.0000522776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580163,"about_ca_system_score_gemma":0.00008234617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003100571,"about_ca_topic_score_gemma":0.00009467333,"domain_scores_codex":[0.9988297,0.00002563867,0.0007308217,0.0001859121,0.0000829998,0.0001448931],"domain_scores_gemma":[0.9992766,0.00005643,0.0003924766,0.00007286538,0.0001137899,0.00008787811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003521378,0.001362257,0.125686,0.00003774661,0.001125689,0.002511122,0.005349507,0.0001649454,0.00004414512,0.2837902,0.5302543,0.04932195],"study_design_scores_gemma":[0.0009942128,0.00004164967,0.04856289,0.00002228322,0.000007480518,0.00004919066,0.00007714309,0.0001901119,0.000003529325,0.00864798,0.9412431,0.000160441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2615945,0.08834906,0.0005885203,0.008617482,0.0115727,0.0000748821,0.0001433004,0.0000221473,0.6290374],"genre_scores_gemma":[0.9699177,0.001269539,0.0007385756,0.001347868,0.0006603681,0.000003832437,0.00001254788,0.00002003805,0.02602949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7083232,"threshold_uncertainty_score":0.997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596686062124387,"score_gpt":0.2213476108477127,"score_spread":0.1953807502264688,"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."}}