{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005406085,0.001165615,0.0005479669,0.001967276,0.001469775,0.002981689,0.0007684119,0.002733772,0.9775541],"category_scores_gemma":[0.001132681,0.0004624545,0.000503073,0.001751988,0.0008091773,0.002080298,0.002483636,0.001218491,0.9753062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011311,"about_ca_system_score_gemma":0.0009024492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005969896,"about_ca_topic_score_gemma":0.007314977,"domain_scores_codex":[0.9996521,0.00003492322,0.00002986045,0.00009390332,0.0001196543,0.00006950559],"domain_scores_gemma":[0.9990637,0.0001438396,0.00004759231,0.0001487928,0.0002970792,0.0002989995],"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":[0.0001896298,0.0001872869,0.001620371,0.0002227428,0.00001087735,0.0002128581,0.0001119037,0.0001872862,0.002277944,0.008073999,0.5322169,0.4546882],"study_design_scores_gemma":[0.00002904481,0.00002852294,0.001073567,0.00009838728,0.000004827446,0.000148404,0.00009302719,0.0001904054,0.000449315,0.0008713921,0.9970031,0.000009984383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009661361,0.0001588579,0.0006500159,0.0007854242,0.0003104359,0.00005867615,0.001627235,0.0009993336,0.9944438],"genre_scores_gemma":[0.002203844,0.000097246,0.0002795755,0.0002466179,0.00004075691,0.00001887927,0.0007246147,0.0001623212,0.9962262],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02244586,"threshold_uncertainty_score":0.03201628,"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."}}