{"id":"W4412279332","doi":"","title":"Legaltech, den juridiske profession og fremkomsten af digital kapitalisme","year":2022,"lang":"da","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007135661,0.000383454,0.0005136514,0.002289066,0.007621199,0.02652647,0.001093733,0.007601821,0.0450623],"category_scores_gemma":[0.01936486,0.0005997013,0.0002817309,0.002235362,0.009287136,0.0113115,0.006691783,0.006438673,0.006162418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01310847,"about_ca_system_score_gemma":0.0186755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03387595,"about_ca_topic_score_gemma":0.04695971,"domain_scores_codex":[0.9905704,0.003297643,0.0004166298,0.0009712751,0.003122773,0.001621334],"domain_scores_gemma":[0.9888301,0.006578709,0.000849391,0.0005494923,0.001156613,0.002035644],"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":[0.00009513402,0.0001659059,0.002363858,0.0005087509,0.00001645405,0.0003652788,0.02294803,0.0005901068,0.0004064676,0.7888243,0.07396444,0.1097513],"study_design_scores_gemma":[0.00003398007,0.00004239261,0.003748807,0.001259544,0.0000174544,0.0002630091,0.02459913,0.0005635743,0.0007859009,0.1237618,0.8448761,0.00004829979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06389827,0.03484556,0.00652698,0.2146286,0.003113925,0.00005406682,0.0005916937,0.0002565755,0.6760843],"genre_scores_gemma":[0.6973981,0.01097061,0.00465081,0.006818388,0.0006121207,0.00005839462,0.0003157906,0.0002174667,0.2789583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0450623,"threshold_uncertainty_score":0.1507484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07242338373468987,"score_gpt":0.3329873944365222,"score_spread":0.2605640107018323,"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."}}