{"id":"W4251056091","doi":"10.1109/rewbah51211.2020.00004","title":"REWBAH 2020 TOC","year":2020,"lang":"en","type":"article","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Ottawa; Ericsson (Canada)","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004704331,0.00002218426,0.00003722955,0.000002705277,0.0003462908,0.00002110364,0.00004905446,0.00001757567,0.001490472],"category_scores_gemma":[0.0000715513,0.00001686358,0.00002650879,0.0001513644,0.00006850971,0.00005079722,0.00002297837,0.00002675513,0.0002041587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000883068,"about_ca_system_score_gemma":0.00003113016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006364924,"about_ca_topic_score_gemma":0.0009843905,"domain_scores_codex":[0.9996806,0.00001817315,0.00004320106,0.00006617303,0.0001043411,0.00008754519],"domain_scores_gemma":[0.9998409,0.00001795071,0.000008381308,0.00002893179,0.00002388324,0.00007997225],"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":[0.000003038232,0.000006864422,0.0006546504,0.000002120808,0.000009336097,0.000005884739,0.0201613,0.000007850454,0.00002279284,0.5185944,0.457225,0.003306728],"study_design_scores_gemma":[0.00003889392,0.00001095855,0.0005325906,5.151766e-7,0.000002497725,6.223539e-8,0.004318217,0.00005270594,0.000006187233,0.0002663561,0.9947378,0.00003324048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002263855,0.00007214619,0.0001683105,0.1705762,0.00009736724,0.00006211932,0.000001024935,0.00007187983,0.8266871],"genre_scores_gemma":[0.9822906,0.00004666172,0.0003155206,0.00296987,0.0006875118,0.000002227426,5.761486e-7,0.000002038477,0.01368495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9800268,"threshold_uncertainty_score":0.9994223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03605746138654555,"score_gpt":0.3140787854751181,"score_spread":0.2780213240885726,"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."}}