{"id":"W2583551081","doi":"10.1017/9781316681060.004","title":"Customary Norms <i>vs</i> State Law","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"State (computer science); Content (measure theory); Law; Political science; Computer science; Internet privacy; Computer security; Mathematics; Algorithm","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":[0.0006567154,0.0003422065,0.0002129529,0.0007419618,0.001483756,0.004356283,0.0005383226,0.001289191,0.02746292],"category_scores_gemma":[0.001554803,0.0001890733,0.0001892487,0.001335745,0.004839015,0.003423851,0.0009134106,0.002902088,0.005441765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003944515,"about_ca_system_score_gemma":0.003398224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009522934,"about_ca_topic_score_gemma":0.01639301,"domain_scores_codex":[0.9994164,0.0001845819,0.00001828754,0.00006002524,0.0002547053,0.00006610728],"domain_scores_gemma":[0.9996176,0.0002188957,0.00002646112,0.00003972709,0.00007193522,0.00002535765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002988811,0.00000413146,0.00003923702,0.00002948458,7.055326e-7,0.000008393318,0.0006474751,0.00005208114,0.00003866546,0.9303455,0.05585555,0.01297577],"study_design_scores_gemma":[0.000002333159,0.000003869127,0.0003181363,0.00024875,0.000002216389,0.0000411163,0.0008525787,0.0001272396,0.0001481682,0.2744315,0.7238172,0.000006930698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008412949,0.006564358,0.00108299,0.004340979,0.0004235674,0.00000615444,0.00009981838,0.00004269409,0.9865981],"genre_scores_gemma":[0.138585,0.01597899,0.002061521,0.004831511,0.0008717049,0.00009282061,0.0003660219,0.0002393757,0.836973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02746292,"threshold_uncertainty_score":0.09187263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465987583544364,"score_gpt":0.2350369200878866,"score_spread":0.210377044252443,"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."}}