{"id":"W4386089148","doi":"10.1017/9781108866477.001","title":"Table of Cases","year":2023,"lang":"pl","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 Waterloo","funders":"","keywords":"Table (database); Computer science; Information retrieval; Content (measure theory); Database; Table of contents; World Wide Web; Mathematics","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":[0.000717635,0.0007408526,0.0008161923,0.009521595,0.001277233,0.001804654,0.001299975,0.0008786325,0.3623536],"category_scores_gemma":[0.01124717,0.0003903958,0.000741637,0.006139529,0.0003440212,0.001445359,0.0008014957,0.0008533249,0.07668778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154183,"about_ca_system_score_gemma":0.002553414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097436,"about_ca_topic_score_gemma":0.01154911,"domain_scores_codex":[0.9981259,0.0002781441,0.0003535593,0.0003219249,0.0006621213,0.0002584665],"domain_scores_gemma":[0.9961382,0.001168083,0.0007202764,0.0002320837,0.001381243,0.0003600526],"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":[0.00009825289,0.00003387608,0.003651107,0.0009070059,0.00003216616,0.0008413329,0.0001138729,0.0001289692,0.0001188189,0.005337156,0.9492795,0.03945795],"study_design_scores_gemma":[0.00006840746,0.00005313452,0.01639858,0.004042227,0.00007742656,0.004553169,0.0007978803,0.0001164558,0.0002502952,0.006450174,0.9671596,0.00003277903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007326841,0.01351238,0.00279702,0.00668169,0.002206064,0.001833797,0.4211837,0.0008434015,0.5436151],"genre_scores_gemma":[0.1214765,0.0474058,0.00675604,0.01135455,0.00228254,0.004925426,0.5113212,0.001214373,0.2932635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6376464,"threshold_uncertainty_score":0.9095253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0400005313357244,"score_gpt":0.3222967439980128,"score_spread":0.2822962126622884,"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."}}