{"id":"W3004940007","doi":"","title":"CJILS Editorial / RCSIB éditorial","year":2019,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Library Science and Information","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051426,0.0001590127,0.0001571546,0.004270865,0.0001560779,0.0002765595,0.001538724,0.0001376045,0.00003909871],"category_scores_gemma":[0.00002726384,0.0001558509,0.00009934207,0.006865023,0.00003729156,0.009836223,0.0004507487,0.0001928895,0.0007051859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134121,"about_ca_system_score_gemma":0.0006011851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700115,"about_ca_topic_score_gemma":0.00006200489,"domain_scores_codex":[0.9985074,0.00005987356,0.0001584475,0.0003775996,0.0005320947,0.000364593],"domain_scores_gemma":[0.9990317,0.00005562144,0.000119158,0.0005830329,0.0001163427,0.00009414199],"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":[0.0005112466,0.0005954823,0.003535757,0.0001670443,0.0001713896,0.0001479044,0.03539819,0.0004886862,0.000457493,0.3743888,0.4240178,0.1601203],"study_design_scores_gemma":[0.0008146547,0.0001792086,0.00006714904,0.00001083067,0.000004573618,0.000002687122,0.00009920209,0.002777142,0.0006544627,0.000007734952,0.9951608,0.0002215439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02951925,2.778065e-7,0.01055321,0.0002781861,0.1411608,0.0005830655,0.000008677569,0.0005292501,0.8173673],"genre_scores_gemma":[0.7324443,0.017719,0.03605004,0.001803055,0.2105689,0.000009903033,0.0001025029,0.00008400969,0.001218248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8161491,"threshold_uncertainty_score":0.9063974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009540195559102951,"score_gpt":0.1945365791563482,"score_spread":0.1849963835972452,"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."}}