{"id":"W2528509740","doi":"10.3138/9781442620889-013","title":"7. ‘This Ultimate Resource’: Martial Law and State Repression in Lower Canada, 1837–8","year":2002,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychological repression; Martial law; State (computer science); Resource (disambiguation); Law; Political science; Computer science; Chemistry; Computer network","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000137012,0.0001359402,0.0002745603,0.00005643235,0.000515448,0.00005301569,0.0002732475,0.0002240616,0.003078784],"category_scores_gemma":[0.000008130865,0.0002111984,0.00006822262,0.000001349087,0.0008223515,0.0001273721,0.0001206412,0.0001863075,0.000004252188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040713,"about_ca_system_score_gemma":0.0005295188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998845,"about_ca_topic_score_gemma":0.999985,"domain_scores_codex":[0.9989036,0.00005942449,0.0001474194,0.000300867,0.0003595738,0.000229156],"domain_scores_gemma":[0.9992772,0.00004007317,0.0001804154,0.0002397118,0.00005695703,0.0002056365],"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":[0.0004804716,0.00004149957,0.00001557691,0.0002306693,0.0001638744,0.001411247,0.09898715,0.00001518315,0.00002067885,0.3160757,0.560721,0.02183696],"study_design_scores_gemma":[0.0002725867,0.00001607402,0.00002243053,0.0001348544,0.00003929379,5.12228e-7,0.00008966141,0.000007499677,0.000001607114,0.000105243,0.9991041,0.0002061455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006442286,0.001197211,6.18816e-7,0.00004292674,0.0001675571,0.0001861601,0.0001690724,0.00001855477,0.9981534],"genre_scores_gemma":[0.0005888526,0.0008673325,0.0000272783,0.00006559941,0.00004798003,1.314493e-7,0.000004910373,0.00001356629,0.9983844],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4383831,"threshold_uncertainty_score":0.9978325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063487795693587,"score_gpt":0.1778564472431056,"score_spread":0.1672215692861698,"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."}}