{"id":"W6902744125","doi":"10.7910/dvn/cn3mhm","title":"Replication Data for Rebel Victory and Constitutional Change","year":2025,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Victory; Expropriation; Interim; Property rights; Property (philosophy); State (computer science); Constitution; Timeline","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002044762,0.0009589799,0.0008040277,0.003467652,0.0009364978,0.001840023,0.002252548,0.001447695,0.05875649],"category_scores_gemma":[0.01255839,0.000512636,0.000837433,0.006614218,0.0004921723,0.0009843896,0.002036894,0.001932091,0.04432935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625571,"about_ca_system_score_gemma":0.002655426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04036131,"about_ca_topic_score_gemma":0.06050802,"domain_scores_codex":[0.9981724,0.0003198684,0.0002271768,0.0005217345,0.0004991889,0.0002596279],"domain_scores_gemma":[0.9934967,0.001565634,0.0008133035,0.001577333,0.002129853,0.0004172254],"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":[0.00007925895,0.00004771612,0.004970005,0.0002970812,0.0000376922,0.00003623597,0.00008658032,0.0004184,0.0001249215,0.001648105,0.9881082,0.004145872],"study_design_scores_gemma":[0.0002103716,0.00002073183,0.01973801,0.0001989023,0.00002662814,0.00003791696,0.0002530251,0.0004743857,0.0003159152,0.001244382,0.9774452,0.00003448338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008353952,0.00004182586,0.000082069,0.00009339409,0.00002961836,0.00002552077,0.9975296,0.0001311588,0.0012314],"genre_scores_gemma":[0.001907469,0.00002899193,0.0003400549,0.00004603706,0.00001371817,0.0002087929,0.9959049,0.00005210218,0.001497965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05875649,"threshold_uncertainty_score":0.1965601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08555859928075484,"score_gpt":0.3271704609441581,"score_spread":0.2416118616634033,"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."}}