{"id":"W4293316270","doi":"10.48550/arxiv.1205.1775","title":"Automatic Ordinals","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mathematics; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003707205,0.000300225,0.0004239556,0.0001613584,0.0001236181,0.0001422852,0.002298413,0.0002953175,0.00004748788],"category_scores_gemma":[0.00002481432,0.0003052093,0.0002490886,0.0003758059,0.00006060469,0.0003943541,0.001831063,0.0004012889,0.0006993496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681864,"about_ca_system_score_gemma":0.0001497908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563497,"about_ca_topic_score_gemma":0.000008595479,"domain_scores_codex":[0.9982229,0.0001999955,0.0002155538,0.0007853932,0.0001075507,0.0004685822],"domain_scores_gemma":[0.9978267,0.00009903769,0.0002705021,0.001474167,0.0001001657,0.0002294158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006748255,0.0001186537,0.003207034,0.0001744229,0.0001613761,0.0002712782,0.0002977734,0.01692787,0.00001786597,0.9731243,0.001655615,0.004037087],"study_design_scores_gemma":[0.0006573813,0.00004680645,0.004020593,0.0001682055,0.0001207779,0.00002185058,0.00007076238,0.7829357,0.00001586349,0.2091694,0.001904224,0.0008683573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1493981,0.0005770355,0.7684492,0.0002544408,0.00252497,0.0005664877,0.00000895631,0.001012798,0.07720808],"genre_scores_gemma":[0.9959384,0.00003466546,0.001164378,0.0001203393,0.0001847193,0.000001942163,0.000003956085,0.00001246799,0.002539095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465404,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07885656296267815,"score_gpt":0.1764052041940062,"score_spread":0.09754864123132809,"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."}}