{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01251728,0.0003492804,0.0006812234,0.00637615,0.01729527,0.01360642,0.002911699,0.004971311,0.003728727],"category_scores_gemma":[0.02734791,0.0005084671,0.0006307708,0.008190555,0.02058246,0.00306654,0.003587374,0.005497603,0.0002525835],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1613992,"about_ca_system_score_gemma":0.2928592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778496,"about_ca_topic_score_gemma":0.9851578,"domain_scores_codex":[0.9768604,0.003600038,0.0009324728,0.001258643,0.01331852,0.004029994],"domain_scores_gemma":[0.9804977,0.005691717,0.001005467,0.000574027,0.01110826,0.001122892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006258872,0.00001051039,0.001071759,0.0001279596,0.00001511456,0.0002065195,0.004869859,0.0005773657,0.00006969579,0.9554046,0.02148499,0.01615542],"study_design_scores_gemma":[0.00002143044,0.000028701,0.01341732,0.002217259,0.0001030923,0.0002787952,0.0136272,0.001650179,0.0004349923,0.2115208,0.7565143,0.0001860291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0553596,0.1345417,0.008267022,0.1147099,0.001569755,0.0002303182,0.0005392315,0.0001012277,0.6846812],"genre_scores_gemma":[0.899329,0.0421638,0.004408362,0.01451276,0.0003526702,0.00007473552,0.0002113815,0.00005433066,0.03889292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1613992,"threshold_uncertainty_score":0.972658,"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."}}