{"id":"W3196867679","doi":"10.14778/3476311.3476364","title":"RONIN","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Set (abstract data type); Data mining; Focus (optics); Nearest neighbor search; Data set; Artificial intelligence","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":[0.00191079,0.00008340477,0.0001713115,0.00005737561,0.0001012114,0.0001848033,0.001101487,0.00002401873,0.0004726801],"category_scores_gemma":[0.001648953,0.0000489752,0.0001284088,0.000597822,0.00007221659,0.0002480059,0.001106281,0.00007598082,0.0001389601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003358756,"about_ca_system_score_gemma":0.00003169638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002048754,"about_ca_topic_score_gemma":0.000009381887,"domain_scores_codex":[0.9977919,0.0000181198,0.0004320659,0.0003129895,0.001268291,0.0001766005],"domain_scores_gemma":[0.9989138,0.0001188501,0.0002474595,0.0003046986,0.0003657482,0.00004950802],"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":[0.00002427142,0.0003015255,0.006203617,0.00005208264,0.00007166926,0.000002183964,0.001242538,0.00002062309,0.02952056,0.5571057,0.3578745,0.0475808],"study_design_scores_gemma":[0.00037321,0.00003262954,0.007412727,0.00004100036,0.00002726179,0.000007480076,0.004058341,0.00006402293,0.2692384,0.1395963,0.5790274,0.0001212117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4804395,0.0005895139,0.0004833343,0.04221652,0.001639547,0.0006853821,0.00006042078,0.00007851747,0.4738072],"genre_scores_gemma":[0.9762882,0.00003528523,0.001424933,0.001045118,0.00005612053,0.00001783146,0.000001181328,0.000005842659,0.0211255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4958487,"threshold_uncertainty_score":0.5175515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406382432299656,"score_gpt":0.3809184801512673,"score_spread":0.2402802369213017,"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."}}