{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005668545,0.0001994115,0.0002944589,0.0007268584,0.001704571,0.0003345464,0.0002258651,0.0001305412,0.0011779],"category_scores_gemma":[0.00006964933,0.0002023532,0.0001177655,0.0002104532,0.0009309434,0.000101582,0.000198745,0.0003474901,0.00002271646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004549608,"about_ca_system_score_gemma":0.0006431389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022495,"about_ca_topic_score_gemma":0.1279064,"domain_scores_codex":[0.998713,0.00003081289,0.0002695795,0.0004941533,0.000132337,0.0003601882],"domain_scores_gemma":[0.99923,0.0001881629,0.000144943,0.000277028,0.00003585593,0.0001240136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003666238,0.000006619254,0.00002782693,0.000005501842,0.000019364,0.000003476502,0.004604129,0.0005271832,5.444592e-7,0.9664717,0.001722793,0.02660724],"study_design_scores_gemma":[0.0000852638,0.000006815661,0.00003264222,0.00001020806,0.00001013033,0.000001155298,0.00002262162,0.00005039895,7.625038e-7,0.1351972,0.8643836,0.0001992397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000528607,0.001902715,0.00000726423,0.02210154,0.00180924,0.0002832153,0.0001775617,0.00002691111,0.9731629],"genre_scores_gemma":[0.1090034,0.002932954,0.0001077755,0.0009061001,0.0018739,0.00001606852,0.00007376719,0.000043039,0.885043],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8626608,"threshold_uncertainty_score":0.9997352,"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."}}