{"id":"W6910577902","doi":"10.48660/16010079","title":"Fast and Accurate Mocks: Getting the Most from Large Scale Structure Surveys","year":2016,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Scale (ratio); Measure (data warehouse); Noise (video); Field (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":[0.003974429,0.001332191,0.001058555,0.00176234,0.001225715,0.003984506,0.002507161,0.002058106,0.05123737],"category_scores_gemma":[0.03331053,0.001092918,0.0008076028,0.001536167,0.0007846513,0.00506653,0.006016463,0.002182229,0.07649114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007518124,"about_ca_system_score_gemma":0.00193368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00682182,"about_ca_topic_score_gemma":0.01476772,"domain_scores_codex":[0.9971983,0.0007947374,0.00009896247,0.0003907597,0.001231162,0.0002860304],"domain_scores_gemma":[0.9891039,0.001438666,0.0004079652,0.006515885,0.001815039,0.0007185758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002274031,0.0001050028,0.005906896,0.0001855817,0.00007987671,0.00008909802,0.0004892246,0.005219408,0.001445548,0.02243963,0.7131807,0.2506317],"study_design_scores_gemma":[0.000148815,0.00006123153,0.007645146,0.0002192656,0.00004018289,0.0002055096,0.0005709477,0.0744043,0.004542696,0.1274668,0.7845477,0.0001473475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02196445,0.002017742,0.4389257,0.00734759,0.002112279,0.0006306464,0.08702453,0.1836587,0.2563184],"genre_scores_gemma":[0.1623077,0.0009961532,0.4575201,0.001889552,0.0007710622,0.0006967746,0.1688385,0.0537013,0.1532789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05123737,"threshold_uncertainty_score":0.1714061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067264969233335,"score_gpt":0.253389693698606,"score_spread":0.2427170440062726,"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."}}