{"id":"W4411656593","doi":"10.51847/smbdbstyx2","title":"10.51847/SMbdBsTYx2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Legal liability; Liability; Enforcement; Political science; Law enforcement; Delict; Business; Public law; Black letter law; Private law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001226516,0.00008880829,0.000162802,0.00009593732,0.00004152974,0.00009088169,0.0001790624,0.00004195754,0.9932206],"category_scores_gemma":[0.00001587371,0.0001106033,0.00005947012,0.0001914634,0.00002281792,0.0003644824,0.00001137222,0.00004564241,0.9973779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000337339,"about_ca_system_score_gemma":0.000004610431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021654,"about_ca_topic_score_gemma":4.862551e-8,"domain_scores_codex":[0.9992791,0.000002890397,0.0003229259,0.0001762654,0.00002612754,0.0001926228],"domain_scores_gemma":[0.9996196,0.0000163051,0.00003814148,0.0002207509,0.00001178873,0.00009339942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003238024,0.00007865766,0.000004650343,0.00001181974,0.00002634955,0.000001655217,0.00005100457,0.0003682649,0.000001038944,0.009723751,0.04013223,0.9495682],"study_design_scores_gemma":[0.0001644322,0.00004647334,0.0001074989,0.00000420923,0.000001061506,0.000001881298,3.382473e-7,0.0002145955,0.000005567211,0.000465051,0.9988396,0.0001493518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000747739,0.00006722826,0.0000147156,0.00036159,0.000006200724,0.0001193743,0.0001212862,0.00008724327,0.9984746],"genre_scores_gemma":[0.00486777,9.600786e-7,0.0001409358,0.0001618396,0.0000480488,0.0000168153,0.00001917144,0.00001781849,0.9947267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9587073,"threshold_uncertainty_score":0.4510271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277351870213798,"score_gpt":0.1621537110585875,"score_spread":0.1493801923564495,"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."}}