{"id":"W2770512359","doi":"10.1093/mnras/sty664","title":"Cylinders out of a top hat: counts-in-cells for projected densities","year":2018,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Science and Technology Facilities Council; Korea Astronomy and Space Science Institute; Agence Nationale de la Recherche","keywords":"Physics; Astrophysics; Astronomy","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":[0.003309148,0.001110196,0.0009495993,0.001856596,0.0009580686,0.002854312,0.004014181,0.001279513,0.03240344],"category_scores_gemma":[0.01990207,0.0009762555,0.001469193,0.001922539,0.001056915,0.003326979,0.001729833,0.00255648,0.01279075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502867,"about_ca_system_score_gemma":0.003163288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01491948,"about_ca_topic_score_gemma":0.01710467,"domain_scores_codex":[0.9984939,0.0003402189,0.0001234893,0.0003045985,0.0005608865,0.0001769063],"domain_scores_gemma":[0.9945733,0.002273686,0.0003540122,0.001367017,0.001185906,0.0002461517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003196207,0.000122376,0.01029563,0.0001954004,0.00006693965,0.0004287244,0.0004257661,0.4643506,0.002517246,0.297283,0.04985844,0.1741362],"study_design_scores_gemma":[0.00001107088,0.00001629698,0.000585545,0.00002024831,0.000005134106,0.00007773462,0.00002653678,0.9533398,0.001639845,0.03527835,0.008975976,0.00002356083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004578444,0.00005335051,0.9823918,0.00009607837,0.000116002,0.00008875236,0.001239682,0.008416426,0.003019448],"genre_scores_gemma":[0.1638942,0.00022376,0.8160389,0.0001649991,0.0001729804,0.0005861029,0.004842555,0.004901542,0.009175023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03240344,"threshold_uncertainty_score":0.1084003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201496982577301,"score_gpt":0.2252909594108244,"score_spread":0.2132759895850514,"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."}}