{"id":"W4293766640","doi":"10.1142/9789811248177_0010","title":"Annex","year":2022,"lang":"en","type":"book-chapter","venue":"World Scientific lecture notes in economics and policy","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003444698,0.001907656,0.001299737,0.00266077,0.002702511,0.004810273,0.00338442,0.005900087,0.441029],"category_scores_gemma":[0.01004308,0.001005893,0.0008889795,0.003285131,0.0009814505,0.004240616,0.002342344,0.005603124,0.3050998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271691,"about_ca_system_score_gemma":0.004914877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416419,"about_ca_topic_score_gemma":0.01582753,"domain_scores_codex":[0.9974485,0.0004654005,0.0002339364,0.0003764614,0.001164443,0.0003112937],"domain_scores_gemma":[0.9966804,0.001178261,0.0002870419,0.0004378362,0.001202615,0.0002137594],"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":[0.00003042909,0.00005840387,0.0001037052,0.0003614922,0.000003259722,0.00006023483,0.0001401811,0.0001711007,0.000229864,0.04678835,0.9219627,0.03009024],"study_design_scores_gemma":[0.000005896194,0.00001208839,0.0002364566,0.0002420814,0.000001597631,0.00002799578,0.00005491428,0.00001864998,0.00005045704,0.002285948,0.9970576,0.000006426356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003830305,0.002640841,0.001608037,0.003721983,0.006335516,0.000982758,0.01365399,0.0005750328,0.9700989],"genre_scores_gemma":[0.001156687,0.002912452,0.001781068,0.006479896,0.0009692154,0.001874837,0.009393094,0.0004458097,0.974987],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.558971,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951590669123986,"score_gpt":0.276464969907495,"score_spread":0.2569490632162551,"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."}}