{"id":"W4396568096","doi":"10.1103/physics.17.57","title":"Exploring the Black Hole Population with an Open Mind","year":2024,"lang":"en","type":"article","venue":"Physics","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Population; Black hole (networking); Physics; Computer science; Computer security; Sociology; Demography","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":[0.002119671,0.0005274322,0.001026907,0.0007166417,0.0009731681,0.003304021,0.002403572,0.002409205,0.003180991],"category_scores_gemma":[0.006917396,0.0004710304,0.0008695186,0.0004145915,0.00239661,0.01188869,0.002485042,0.002699386,0.0006121872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007719863,"about_ca_system_score_gemma":0.0009419731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008453143,"about_ca_topic_score_gemma":0.0006164391,"domain_scores_codex":[0.999481,0.0001928566,0.00001405968,0.0001337893,0.0001102809,0.0000679773],"domain_scores_gemma":[0.9969953,0.001437458,0.0003095206,0.0005235123,0.0002680784,0.0004660854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004062379,0.00005413931,0.00220638,0.00007555537,0.00005121106,0.0001250344,0.0002297992,0.02502376,0.001456074,0.9588551,0.002064722,0.009817634],"study_design_scores_gemma":[0.00001077913,0.0000157141,0.0002482674,0.00001078103,0.000005950169,0.00006087304,0.00005140701,0.07321232,0.0001299082,0.9244081,0.001835611,0.00001036836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2208652,0.003079179,0.6912306,0.03193125,0.0009928396,0.00006292128,0.0003683835,0.0003313512,0.05113822],"genre_scores_gemma":[0.9180213,0.002068092,0.0620086,0.003039115,0.001615586,0.0001291651,0.0001886237,0.0001156422,0.01281383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003304021,"threshold_uncertainty_score":0.01121002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147093630723451,"score_gpt":0.3870867183324458,"score_spread":0.2723773552601007,"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."}}