{"id":"W4200303422","doi":"10.1017/9781009039406.010","title":"Appendix B: Cases","year":2021,"lang":"en","type":"other","venue":"","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Content (measure theory); Information retrieval; Link (geometry); World Wide Web; Database; Mathematics; Computer network","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00217336,0.0009362726,0.0007635258,0.008768866,0.001694226,0.001631496,0.001396273,0.002000969,0.5848785],"category_scores_gemma":[0.03160713,0.0005979255,0.0007085672,0.006007962,0.0004335228,0.001514804,0.001175132,0.001211976,0.1352343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110222,"about_ca_system_score_gemma":0.00498232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412517,"about_ca_topic_score_gemma":0.02259471,"domain_scores_codex":[0.9973678,0.000529877,0.0004688629,0.000293259,0.0009999968,0.0003402963],"domain_scores_gemma":[0.9797463,0.008609942,0.001640135,0.001134894,0.007646165,0.001222593],"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":[0.00004239266,0.00003628198,0.0007662777,0.0002961731,0.000005690529,0.000198255,0.0000646723,0.00007670165,0.00004087459,0.002683814,0.986371,0.009417744],"study_design_scores_gemma":[0.0001741297,0.00005648231,0.01476487,0.002805999,0.00002546664,0.001744055,0.0007861247,0.0002393706,0.0002656827,0.00935522,0.9697408,0.00004181324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003853709,0.001323298,0.004245555,0.006084162,0.001909518,0.007491974,0.5400242,0.0007789963,0.4342887],"genre_scores_gemma":[0.04343664,0.006098689,0.01644893,0.01322889,0.001413265,0.02414582,0.4271522,0.00072861,0.4673469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4151215,"threshold_uncertainty_score":0.5921204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639975539055304,"score_gpt":0.3384278768941921,"score_spread":0.302028121503639,"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."}}