{"id":"W2735653644","doi":"10.22215/sjcs.v1i1.306","title":"Blood and Compromise: Pivot Points in Canadian-U.S. Border Resolution, 1783-1903","year":2013,"lang":"en","type":"article","venue":"Southern Journal of Canadian Studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compromise; Resolution (logic); Mathematics; Computer science; Political science; Artificial intelligence; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000774328,0.0001047928,0.0002773294,0.002373183,0.0009176544,0.0001962024,0.0002079678,0.00009190428,0.0007785168],"category_scores_gemma":[0.000465937,0.0001206051,0.00005977015,0.0005538241,0.0007137717,0.0002337727,0.00001225328,0.0002450043,0.00009339565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150433,"about_ca_system_score_gemma":0.004475297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996565,"about_ca_topic_score_gemma":0.9999952,"domain_scores_codex":[0.9985283,0.0001418502,0.0003365479,0.0001292902,0.0002504205,0.0006135785],"domain_scores_gemma":[0.9980751,0.00005564961,0.000139632,0.00009502503,0.0003726917,0.001261919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002785211,0.00007474048,0.1397932,0.0001017334,0.0009549375,0.001138409,0.4651775,0.0000391704,0.00004119713,0.01422443,0.3514733,0.02695356],"study_design_scores_gemma":[0.0005379446,0.00003825427,0.03088559,0.00008830302,0.00004803416,0.0000235834,0.05891699,0.000001916829,4.729657e-7,0.001862409,0.9074004,0.0001961034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8985992,0.03959531,6.261166e-7,0.02979018,0.0007537757,0.0003298014,0.000101439,0.000009676587,0.03082001],"genre_scores_gemma":[0.9860438,0.003458406,0.0001502714,0.001142377,0.000382641,0.000007993433,9.168238e-7,0.00001991095,0.008793735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5559271,"threshold_uncertainty_score":0.8524212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752154540968145,"score_gpt":0.2576130061367135,"score_spread":0.240091460727032,"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."}}