{"id":"W2791684113","doi":"","title":"Damages for Breach and Interpretation of Jurisdiction Agreements in Common Law Canada","year":2017,"lang":"en","type":"article","venue":"The Canadian Bar Review","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; Damages; Jurisprudence; Law; Subject-matter jurisdiction; Interpretation (philosophy); Enforcement; Political science; Common law; Conflict of laws; Business; Original jurisdiction; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007170422,0.00004397879,0.0001321876,0.00001795813,0.0006992971,0.00004520667,0.000179398,0.00002492687,0.00002756347],"category_scores_gemma":[0.00006070155,0.00003645004,0.00002072825,0.00003043564,0.0001321259,0.0001052672,0.00001118788,0.00004694138,6.27828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100642,"about_ca_system_score_gemma":0.0004731667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979785,"about_ca_topic_score_gemma":0.9999675,"domain_scores_codex":[0.9994729,0.0000800219,0.0001453373,0.00007228804,0.0001055245,0.000123971],"domain_scores_gemma":[0.9995347,0.00003973908,0.0001145528,0.0001767925,0.0000476082,0.00008658949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001524861,0.00001349958,0.0170725,0.001007809,0.00004090607,0.000003995011,0.007600731,0.000002119262,0.000009275281,0.2659925,0.01269495,0.6955465],"study_design_scores_gemma":[0.0001259282,0.000015722,0.040481,0.0009333232,0.00003495292,5.26749e-7,0.0001548276,0.00008063536,0.000004605585,0.0009951945,0.9571086,0.00006464503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3308052,0.06945959,0.00004661553,0.2951529,0.001649823,0.005996663,0.0003142495,0.00002832448,0.2965466],"genre_scores_gemma":[0.9923203,0.006330668,0.0000075957,0.001027171,0.00003350451,0.0000187453,0.000006630768,0.000003274124,0.0002521412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9444137,"threshold_uncertainty_score":0.5378498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679006436938022,"score_gpt":0.3329113235339074,"score_spread":0.3061212591645272,"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."}}