{"id":"W29332038","doi":"10.3233/jad-170425","title":"Long Baseline (Y+) Array Configuration: Specifications and Requirements","year":2003,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Baseline (sea); Computer science; Reliability engineering; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002676841,0.001732712,0.001124316,0.001296094,0.0007644212,0.002462056,0.003408356,0.001635797,0.04291764],"category_scores_gemma":[0.01244532,0.0009375875,0.000783347,0.001631525,0.0005356304,0.002670691,0.001606164,0.0006074657,0.02083012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507011,"about_ca_system_score_gemma":0.0007807754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188488,"about_ca_topic_score_gemma":0.002767358,"domain_scores_codex":[0.9975077,0.0005934262,0.0004262403,0.0004463772,0.0007790794,0.0002471819],"domain_scores_gemma":[0.9889939,0.003154323,0.001317958,0.002901574,0.003316909,0.0003153187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007650479,0.0004119283,0.03000575,0.002697054,0.0002238563,0.003056075,0.0009198593,0.05148046,0.2235243,0.03314805,0.05189316,0.594989],"study_design_scores_gemma":[0.001095728,0.005588561,0.02490143,0.0005611718,0.0005314418,0.01452651,0.000865326,0.1933928,0.3378442,0.03060496,0.3895362,0.0005515338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09455036,0.002285574,0.820384,0.0007525219,0.000358493,0.001795033,0.009269798,0.02949597,0.04110823],"genre_scores_gemma":[0.459971,0.001205605,0.491744,0.0005228315,0.000320428,0.002834974,0.01049407,0.004136971,0.0287702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04291764,"threshold_uncertainty_score":0.1435738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347976414585665,"score_gpt":0.2672240039537548,"score_spread":0.2137442398078981,"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."}}