{"id":"W7034371064","doi":"","title":"The Subaru/XMM-Newton Deep Survey (SXDS). V. Optically Faint Variable Object Survey**Based in part on data collected at Subaru Telescope, which is operated by the National Astronomical Observatory of Japan. Based on observations (program GN-2002B-Q-30) obtained at the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a cooperative agreement with the NSF on behalf of the Gemini partnership: the National Science Foundation (US), the Particle Physics and Astronomy Research Council (UK), the National Research Council (Canada), CONICYT (Chile), the Australian Research Council (Australia), CNPq (Brazil), and CONICET (Argentina).","year":2018,"lang":"en","type":"other","venue":"","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Observatory; Object (grammar); Variable (mathematics); Variable star; Subaru Telescope","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":[0.0003912862,0.0005929574,0.0002428419,0.002064525,0.0002912731,0.0004538543,0.0005611278,0.0002203119,0.02377923],"category_scores_gemma":[0.0003114372,0.000124309,0.0001343461,0.001951374,0.000143717,0.0004389503,0.0005780661,0.0003102515,0.01223802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007205516,"about_ca_system_score_gemma":0.000695665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008688273,"about_ca_topic_score_gemma":0.01400515,"domain_scores_codex":[0.9998573,0.00001607937,0.000007424459,0.00003645324,0.00005354234,0.0000291957],"domain_scores_gemma":[0.9997432,0.0000143478,0.00006114221,0.00003121576,0.00005891889,0.00009124161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006300413,0.0002068601,0.04686543,0.0005616665,0.00006415518,0.0002158345,0.0001495191,0.0004943499,0.01095717,0.01194134,0.5867493,0.3411644],"study_design_scores_gemma":[0.00003564173,0.00003462721,0.05666361,0.0000469247,0.000008954993,0.00005876764,0.00004192242,0.000365471,0.002191823,0.001346448,0.9391993,0.000006513088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06730629,0.005381496,0.004964174,0.001543141,0.0003703037,0.0004009885,0.6712417,0.002045343,0.2467466],"genre_scores_gemma":[0.1248621,0.005749738,0.02716331,0.0005620648,0.0003801945,0.0003884726,0.6228493,0.0008364942,0.2172084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02377923,"threshold_uncertainty_score":0.07954949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2911832615582382,"score_gpt":0.3673168904050761,"score_spread":0.07613362884683794,"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."}}