{"id":"W2949686746","doi":"10.48550/arxiv.0801.0199","title":"Lawvere completion and separation via closure","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundação para a Ciência e a Tecnologia; Universidade de Aveiro","keywords":"Separation (statistics); Closure (psychology); Completion (oil and gas wells); Mathematics; Statistics; Economics; Engineering; Petroleum engineering","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":[0.00008191832,0.0001821805,0.0002186634,0.00008354749,0.00005768848,0.00003954761,0.00007087739,0.000231326,0.00009742832],"category_scores_gemma":[0.00000676245,0.0001741978,0.00006798805,0.00009925356,0.00002012091,0.00007339251,0.00006515088,0.0002608383,0.00003128814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005354701,"about_ca_system_score_gemma":0.000004784559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004892571,"about_ca_topic_score_gemma":0.00006957923,"domain_scores_codex":[0.99929,0.0000152535,0.0002270824,0.0002166231,0.0001193765,0.0001316591],"domain_scores_gemma":[0.9996326,0.0000145323,0.00005928388,0.0001855776,0.00006186744,0.00004613005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001137293,0.000008553216,0.4488282,0.0002599101,0.0001937128,0.000005261555,0.0002397868,0.5424935,0.002780169,0.0001550361,0.001002666,0.004021869],"study_design_scores_gemma":[0.0001600569,0.00001114989,0.730163,0.00004755336,0.0001033204,0.000005127014,0.00001360616,0.2660913,0.001181368,0.0003668072,0.001540182,0.0003165033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650674,0.0006113741,0.03247867,0.00004979026,0.0003765718,0.0001258452,0.000009439997,0.0001750135,0.00110586],"genre_scores_gemma":[0.9978472,0.0003297401,0.0009921748,0.00004429034,0.000263571,0.000006153249,0.0004042483,0.00002273452,0.00008986246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813348,"threshold_uncertainty_score":0.7103578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418631129678973,"score_gpt":0.256597000973062,"score_spread":0.2324106896762723,"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."}}