{"id":"W4390087745","doi":"10.1093/mnras/stad3885","title":"<i>Spitzer</i>-selected <i>z</i> &amp;gt; 1.3 protocluster candidates in the LSST Deep Drilling Fields","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"Institut sur la Nutrition et les Aliments Fonctionnels; National Aeronautics and Space Administration; Science and Technology Facilities Council; Space Telescope Science Institute; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Redshift; Halo; Population; Supernova; Sigma; Star formation; Cluster (spacecraft); Sample (material); Astronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746557,0.0001935408,0.0002452988,0.001418933,0.0004899076,0.000446249,0.0003057037,0.0001481383,0.001926126],"category_scores_gemma":[0.0004517387,0.0001216851,0.0002266406,0.0007238745,0.000278006,0.0001870486,0.0005325853,0.0001526885,0.0007800277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516379,"about_ca_system_score_gemma":0.0001554345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004706668,"about_ca_topic_score_gemma":0.01159808,"domain_scores_codex":[0.9998232,0.000008487778,0.000008505849,0.00003989009,0.0000554006,0.00006462303],"domain_scores_gemma":[0.999157,0.00008044107,0.0002616055,0.00009305761,0.0001629121,0.0002450731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002329474,0.00003064505,0.9300509,0.00002486803,0.0000258559,0.0003534086,0.0003367285,0.0003310158,0.05565422,0.0002001511,0.000748419,0.01201089],"study_design_scores_gemma":[0.00000338402,0.00003613624,0.9947534,0.00000341735,0.00001049228,0.0001527915,0.0001210809,0.0003433095,0.003680131,0.00004155168,0.0008504681,0.000003860411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984429,0.00003833224,0.0003299224,0.00001181387,0.000001580446,0.000006754922,0.0003939495,0.00003217311,0.0007426154],"genre_scores_gemma":[0.9977285,0.00002421836,0.0004663248,0.00001793276,0.000003303003,0.000006608,0.001115707,0.000009519713,0.0006278264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004706668,"threshold_uncertainty_score":0.009358585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007268558100282312,"score_gpt":0.2043989708876914,"score_spread":0.1971304127874091,"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."}}