{"id":"W6929325549","doi":"10.48550/arxiv.1708.04316","title":"A High Resolution Survey of the Galactic Plane at 408 MHz","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Galactic plane; Angular resolution (graph drawing); Telescope; Longitude; Radio telescope; Observatory; Latitude; Interstellar medium; Geographic coordinate system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002084136,0.0002218566,0.000208767,0.003406882,0.0004802483,0.0003934261,0.0003520145,0.0002739953,0.002914277],"category_scores_gemma":[0.0007309884,0.0001680096,0.0001362124,0.005627297,0.0001613678,0.0002261308,0.0004535483,0.000222247,0.001708577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762252,"about_ca_system_score_gemma":0.001023078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3342851,"about_ca_topic_score_gemma":0.4471702,"domain_scores_codex":[0.9995857,0.00002723764,0.000008864434,0.0000644885,0.0002205649,0.00009325091],"domain_scores_gemma":[0.9995528,0.0000299253,0.0000501725,0.00006431981,0.0002140231,0.00008874347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003413734,0.0001484297,0.387739,0.0002376314,0.0001857449,0.001076235,0.001935699,0.007102309,0.07827437,0.002905728,0.09130048,0.428753],"study_design_scores_gemma":[0.00002394686,0.00002773075,0.867267,0.00003525157,0.00002910765,0.000387566,0.0004034606,0.002443706,0.003468917,0.00052018,0.1253621,0.00003109505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558807,0.002019869,0.01063358,0.0005986984,0.00005802089,0.0001192177,0.0704189,0.001636363,0.05863456],"genre_scores_gemma":[0.8659718,0.001758004,0.02819279,0.0002158745,0.0001206931,0.00008595595,0.08983345,0.0002428103,0.01357858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3342851,"threshold_uncertainty_score":0.6646787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08303354448292977,"score_gpt":0.1991162009671923,"score_spread":0.1160826564842625,"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."}}