{"id":"W3008886186","doi":"10.1103/physrevd.103.063520","title":"Coupling parsec and gigaparsec scales: Primordial non-Gaussianity with multitracer intensity mapping","year":2021,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intensity mapping; Physics; Coupling (piping); Astrophysics; Intensity (physics); Noise (video); Scale (ratio); Molecular cloud; Turbulence; Line (geometry); TRACER; Computational physics; Galaxy; Optics; Meteorology; Nuclear physics; Redshift; Computer science; Quantum mechanics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694815,0.00057778,0.0006294714,0.0006653757,0.0003671759,0.001732545,0.0009242262,0.000866653,0.001024262],"category_scores_gemma":[0.0105553,0.000486963,0.0004774504,0.001094843,0.001803835,0.002271873,0.00163424,0.001271003,0.0001725704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128449,"about_ca_system_score_gemma":0.000482552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003249926,"about_ca_topic_score_gemma":0.00170216,"domain_scores_codex":[0.9992543,0.0003100968,0.00001941285,0.0001963104,0.0001431196,0.00007684781],"domain_scores_gemma":[0.9943041,0.003303,0.001183048,0.0007702949,0.0002302077,0.0002093139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003319676,0.0001030093,0.1563915,0.001092924,0.0006859478,0.001221896,0.0007777371,0.1381484,0.02408666,0.5450931,0.006460004,0.125607],"study_design_scores_gemma":[0.00003722351,0.0001213639,0.2241531,0.0001525522,0.0002142888,0.0006893305,0.0003015496,0.264054,0.009299655,0.4797285,0.02106562,0.0001827328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6131506,0.02699444,0.3274693,0.005636868,0.0002763671,0.00007751244,0.0007195382,0.0008320143,0.02484349],"genre_scores_gemma":[0.9745368,0.003068323,0.02060982,0.0003898802,0.0001170278,0.00003755188,0.0001579381,0.0001190975,0.00096351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003249926,"threshold_uncertainty_score":0.01425171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353497405340817,"score_gpt":0.3317060733629982,"score_spread":0.31817109930959,"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."}}