{"id":"W6910363918","doi":"10.48550/arxiv.1512.00778","title":"WATCHDOG: A Comprehensive All-Sky Database of Galactic Black Hole X-ray Binaries","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Black hole (networking); Galaxy; Binary number; Accretion (finance); Luminosity; Transient (computer programming); Luminosity function; Universe","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004210135,0.0004720076,0.0004616811,0.004209192,0.000299047,0.0006543807,0.0007625525,0.0003390741,0.002963604],"category_scores_gemma":[0.001264263,0.0001841103,0.000301921,0.002807956,0.0001340229,0.0007416928,0.001442262,0.0002619549,0.002479932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722153,"about_ca_system_score_gemma":0.000563721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008885588,"about_ca_topic_score_gemma":0.009795649,"domain_scores_codex":[0.9996958,0.00002406455,0.00004946356,0.00009912709,0.00007895139,0.0000527355],"domain_scores_gemma":[0.998768,0.00008196005,0.0003978069,0.0002340751,0.0001880697,0.0003300389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006732754,0.000155888,0.7836189,0.0006337616,0.0002899322,0.0009437957,0.0008837387,0.0008068671,0.01697794,0.001380856,0.08375437,0.1098807],"study_design_scores_gemma":[0.00003581331,0.00007338505,0.9193627,0.00006702858,0.00007226124,0.0005175746,0.0002828543,0.001057801,0.002103536,0.0003730128,0.07603039,0.00002353288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5667222,0.002770497,0.003599921,0.0001954638,0.00006442554,0.000338466,0.4176396,0.001856735,0.006812739],"genre_scores_gemma":[0.3045323,0.001031489,0.005930248,0.0001701746,0.00008035889,0.0002731328,0.6855753,0.0001779652,0.002229014],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.008885588,"threshold_uncertainty_score":0.01766777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003123177427836,"score_gpt":0.2167190487828091,"score_spread":0.1164067310400255,"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."}}