{"id":"W3190735896","doi":"10.1093/mnras/stac894","title":"Clusters in the <scp>disperse</scp> cosmic web","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CERN; Canadian Celiac Association; New York University","keywords":"Cluster (spacecraft); Physics; Galaxy cluster; Node (physics); Astrophysics; Halo; Matching (statistics); Dark matter; Smoothing; COSMIC cancer database; Galaxy; Computer science; Computer network","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":[0.0006306099,0.0002220966,0.0002676073,0.0009762495,0.0005396738,0.001209957,0.0007864048,0.0004090464,0.00414518],"category_scores_gemma":[0.002752047,0.0002804435,0.0005238975,0.0009668334,0.0006032116,0.0006008238,0.0008859716,0.0005270834,0.0003629413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007468164,"about_ca_system_score_gemma":0.0003549977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761767,"about_ca_topic_score_gemma":0.01548096,"domain_scores_codex":[0.9997326,0.00005838755,0.00001278342,0.0000636272,0.00008161328,0.00005102103],"domain_scores_gemma":[0.9984788,0.0004137935,0.00018146,0.0004096508,0.0002276736,0.0002885281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007880509,0.0002525379,0.2744077,0.0001293997,0.0005745316,0.0006605457,0.0005854672,0.661597,0.008502999,0.02192557,0.01406174,0.0165145],"study_design_scores_gemma":[0.0001177488,0.0001309048,0.1104735,0.00002776766,0.00007835714,0.000160034,0.0003681844,0.8684487,0.007198363,0.006000129,0.00694224,0.00005410291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894083,0.00003205357,0.003660332,0.0001310755,0.00001758415,0.00002497029,0.001813415,0.0007069238,0.004205369],"genre_scores_gemma":[0.9907576,0.00002099193,0.005349363,0.00003717527,0.000005823777,0.00002648381,0.002910058,0.0001964566,0.0006961319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761767,"threshold_uncertainty_score":0.03503025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006215645416493426,"score_gpt":0.1898681791338474,"score_spread":0.183652533717354,"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."}}