{"id":"W2963720072","doi":"10.1017/s1743921315007838","title":"Monte Carlo modeling of globular star clusters: many primordial binaries and IMBH formation","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Astronomical Union","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Globular cluster; Physics; Astrophysics; Intermediate-mass black hole; Mass segregation; Star cluster; Black hole (networking); Cluster (spacecraft); Stars; Accretion (finance); Blue straggler; Mass ratio; Binary number; Spin-flip","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166362,0.000100882,0.0001564894,0.00004269937,0.00005670584,0.00003073761,0.0002019806,0.00002307295,0.00001139141],"category_scores_gemma":[0.00002182363,0.00007846663,0.0000674947,0.00002972294,0.00006823551,0.0002232882,0.0001627836,0.00007951907,9.407281e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255858,"about_ca_system_score_gemma":0.000008310418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000224706,"about_ca_topic_score_gemma":0.000001513292,"domain_scores_codex":[0.9993438,0.000006495755,0.000260304,0.0001232643,0.0001622905,0.0001038557],"domain_scores_gemma":[0.9995435,0.00003848232,0.0002044873,0.00004600329,0.0001411475,0.0000263551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00014924,0.00006145723,0.9759865,0.00004044176,0.0001678986,8.499976e-9,0.0005225131,0.00641491,0.000687965,0.01206472,0.0001775495,0.003726788],"study_design_scores_gemma":[0.001069325,0.0001170657,0.1758061,0.0001289113,0.00008963039,0.000001472128,0.0009272472,0.8116562,0.005420121,0.003701441,0.0008984013,0.0001841379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926279,0.00001941199,0.002096134,0.0005521383,0.0001809141,0.0001076112,0.00001011069,0.000006324038,0.004399489],"genre_scores_gemma":[0.9986973,0.000003192287,0.001018624,0.00001065356,0.0002104274,0.000003991907,0.000005581405,0.000006096814,0.0000441577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8052413,"threshold_uncertainty_score":0.3199776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007858910864384262,"score_gpt":0.1956317018114785,"score_spread":0.1877727909470942,"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."}}