{"id":"W1499807291","doi":"10.48550/arxiv.1002.2664","title":"What Do Statistics Reveal About the Black Hole versus the Bulge Mass Correlation and Co-evolution?","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Astrophysics; Physics; Galaxy; Bulge; Supermassive black hole; Quasar; Redshift; Correlation function (quantum field theory); Black hole (networking); Galaxy formation and evolution; Luminosity; Galaxy merger; Sigma; Stellar mass; Astronomy; Statistics; Star formation; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01929516,0.0005554429,0.001522363,0.004748444,0.0006969307,0.00473719,0.001425319,0.002886153,0.002397985],"category_scores_gemma":[0.08498003,0.0006736487,0.001098247,0.00494615,0.004726789,0.01210567,0.001141763,0.001861397,0.001212405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007508448,"about_ca_system_score_gemma":0.0007034671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716782,"about_ca_topic_score_gemma":0.002633934,"domain_scores_codex":[0.9948527,0.001860921,0.0006057679,0.001456776,0.0009038392,0.0003199791],"domain_scores_gemma":[0.8298728,0.1109465,0.03168676,0.01753378,0.007175983,0.002784091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232716,0.00004819483,0.9532,0.0001716768,0.0006135348,0.0001548175,0.0006899621,0.0004126769,0.0004146276,0.002987415,0.002112955,0.03907089],"study_design_scores_gemma":[0.0000109594,0.0001897769,0.9578862,0.00020733,0.0002681891,0.0008646516,0.001771724,0.002991067,0.0006290912,0.02775569,0.007332361,0.00009285274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935547,0.03013979,0.02731323,0.02774694,0.0006915355,0.00004540422,0.008018071,0.0003381871,0.01215214],"genre_scores_gemma":[0.9818105,0.005717365,0.003009715,0.00349995,0.002070724,0.00003933626,0.003127034,0.000112754,0.000612664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01929516,"threshold_uncertainty_score":0.1020437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568932163644505,"score_gpt":0.1932118862124638,"score_spread":0.1675225645760187,"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."}}