{"id":"W4412527338","doi":"10.17323/1999-5431-2019-0-3-67-87","title":"QUALITY ASSESSMENT OF JUDGES WORK IN THE CONTEXT OF ANTITRUST REGULATION","year":2019,"lang":"en","type":"article","venue":"Public Administration Issues","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Context (archaeology); Quality (philosophy); Work (physics); Political science; Law and economics; Psychology; Law; Sociology; Epistemology; Engineering; History; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001422963,0.00004413386,0.0001174288,0.00004268679,0.00006380143,0.00004495174,0.0001803293,0.00002584778,0.0003784527],"category_scores_gemma":[0.0002995863,0.00003367448,0.00003434694,0.0002134843,0.0001574529,0.0002263845,0.00001450074,0.00004504646,0.000009473146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002578135,"about_ca_system_score_gemma":0.0001059029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365691,"about_ca_topic_score_gemma":0.00121761,"domain_scores_codex":[0.9987673,0.0003437616,0.000301259,0.00009210924,0.0004175236,0.00007801646],"domain_scores_gemma":[0.9992364,0.0002165303,0.0002088788,0.0001172538,0.0002067767,0.00001418043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006643953,0.00005813603,0.2709217,0.000007222007,0.000006327106,7.38352e-8,0.002894851,4.145807e-7,0.00003818227,0.7249959,0.0005464369,0.000524085],"study_design_scores_gemma":[0.0001303878,0.0000621987,0.8513259,0.00001559284,0.000002088949,8.396398e-8,0.01792949,0.000008044468,0.0001354507,0.001009492,0.1293333,0.00004789689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704932,0.00008660224,0.00002702796,0.01366612,0.00010583,0.0001882426,0.000005923867,0.000009556176,0.3154175],"genre_scores_gemma":[0.9976141,0.00005377899,0.0001901392,0.00009566388,0.00005551058,0.000004691051,0.0000153753,0.00000228159,0.001968463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7239864,"threshold_uncertainty_score":0.4143792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08736756338048064,"score_gpt":0.415252377439428,"score_spread":0.3278848140589474,"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."}}