{"id":"W2199629920","doi":"10.1139/cjp-2014-0339","title":"Theoretical estimates of integrated Sachs–Wolfe effect detection through the Australian Square Kilometre Array Pathfinder’s Evolutionary Map of the Universe (ASKAP- EMU) survey, with confusion, position uncertainty, shot noise, and signal-to-noise ratio analysis","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cosmic microwave background; Dark energy; Redshift; Galaxy; Cold dark matter; Redshift survey; CMB cold spot; Cosmology; Cosmic background radiation; Universe","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003415016,0.0005635445,0.0003232814,0.002219528,0.000304937,0.0008533953,0.001009441,0.0005838472,0.002544595],"category_scores_gemma":[0.01400758,0.0003627145,0.0006222625,0.001589403,0.0007490305,0.001502239,0.001270152,0.0004058039,0.0005399663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319943,"about_ca_system_score_gemma":0.0005508609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006118639,"about_ca_topic_score_gemma":0.005676197,"domain_scores_codex":[0.9985092,0.0005003584,0.00005478949,0.0003278728,0.0004626438,0.0001451343],"domain_scores_gemma":[0.9914,0.005041348,0.001051382,0.0008630859,0.001343158,0.0003010325],"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":[0.0002552544,0.00008680033,0.6551346,0.0003212536,0.0003668198,0.000367968,0.0005085275,0.1453487,0.006145621,0.1108473,0.005789711,0.07482747],"study_design_scores_gemma":[0.0000496038,0.0001688503,0.5402992,0.0001352969,0.0001583599,0.0008644695,0.0002287929,0.3828018,0.003423025,0.0651783,0.006592073,0.0001002168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7093476,0.002186371,0.2520995,0.001229936,0.00006892116,0.000120676,0.003426842,0.0004890652,0.0310311],"genre_scores_gemma":[0.9679617,0.0004558992,0.02812651,0.0001212448,0.00005458056,0.0001098622,0.001926215,0.0000420128,0.001201933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006118639,"threshold_uncertainty_score":0.01806056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357017645288253,"score_gpt":0.2255635250775448,"score_spread":0.2119933486246623,"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."}}