{"id":"W4214593499","doi":"10.1515/9780748697755-004","title":"Table of Cases","year":2015,"lang":"en","type":"book-chapter","venue":"Edinburgh University Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Strong; Canadian Imperial Bank of Commerce","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004513976,0.0007086097,0.00056719,0.003195428,0.001307376,0.004254718,0.001113396,0.001160344,0.4380168],"category_scores_gemma":[0.002279507,0.0004119449,0.0004401592,0.00313539,0.0009903526,0.003004387,0.001316985,0.001537538,0.1517208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534837,"about_ca_system_score_gemma":0.0017119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003881629,"about_ca_topic_score_gemma":0.007252832,"domain_scores_codex":[0.999324,0.0001136656,0.00004713386,0.00009839311,0.000314255,0.0001026087],"domain_scores_gemma":[0.9994758,0.0002180615,0.00003065288,0.00006403931,0.0001480751,0.00006341183],"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":[0.00003049973,0.00003639731,0.0002088321,0.0002204082,0.000003448873,0.000365295,0.0002611322,0.0001937736,0.0002049338,0.2048185,0.667273,0.1263838],"study_design_scores_gemma":[0.000006290692,0.000007153908,0.0001822097,0.0001652898,0.000002833847,0.0004280019,0.0001956893,0.00008700022,0.00006760919,0.02363046,0.975222,0.000005558689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003504744,0.001095378,0.001109007,0.0006199181,0.0002705292,0.00005138019,0.001032439,0.0001289321,0.9953419],"genre_scores_gemma":[0.01620154,0.003535793,0.003585711,0.0008840339,0.0002929782,0.0002016638,0.004388604,0.0003307954,0.970579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5619832,"threshold_uncertainty_score":0.8016008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404742483015652,"score_gpt":0.2318609215111008,"score_spread":0.1678134966809443,"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."}}