{"id":"W6967411754","doi":"10.48660/19090014","title":"CHIME: The Canadian Hydrogen Intensity Mapping Experiment","year":2019,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Intensity (physics); Hydrogen; Field (mathematics); Calibration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002448733,0.0003699737,0.0003854572,0.0003626816,0.0001399172,0.00007042343,0.0006247861,0.000299032,0.004340371],"category_scores_gemma":[0.00002924157,0.0002761056,0.0001309699,0.0001959235,0.0001131384,0.0000203121,0.0001382465,0.0003797979,0.09732419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009062386,"about_ca_system_score_gemma":0.0005028067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6934855,"about_ca_topic_score_gemma":0.7660211,"domain_scores_codex":[0.9983783,0.00007080396,0.000167274,0.000444939,0.0003498813,0.0005888545],"domain_scores_gemma":[0.9983534,0.00001408592,0.0001815323,0.001167892,0.00003695753,0.0002461277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002918505,0.0000116878,0.0001880531,0.00001509478,0.0002056819,0.00003323455,0.000700748,0.000001691562,0.0004293206,0.0001562701,0.9980613,0.0001939782],"study_design_scores_gemma":[0.0001503192,0.000007629037,0.000183278,0.0001311304,0.00003225962,0.00002016646,0.0001744164,0.00003426229,0.0004509631,0.00001505386,0.9984487,0.0003518296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007866767,0.002309331,0.000001615229,0.0005274427,0.0007498109,0.0009149618,0.0002257855,0.0002842945,0.9942001],"genre_scores_gemma":[0.0652106,0.00001423039,0.00007887297,0.001042673,0.0008053604,0.00006062462,0.0001109211,0.001661385,0.9310153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09298381,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553215441262949,"score_gpt":0.244610610534486,"score_spread":0.2190784561218566,"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."}}