{"id":"W6891974713","doi":"10.48660/18040069","title":"CHIME: the Canadian Hydrogen Intensity Mapping Experiment","year":2018,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003480173,0.002065956,0.001310717,0.001192621,0.003518431,0.002148468,0.003021706,0.001389015,0.06709136],"category_scores_gemma":[0.00264135,0.0006329978,0.0009204767,0.001887345,0.001373676,0.001367075,0.002064334,0.002318091,0.01973229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007307775,"about_ca_system_score_gemma":0.01298681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5645649,"about_ca_topic_score_gemma":0.7157652,"domain_scores_codex":[0.9985744,0.0001329774,0.00001011491,0.0001913655,0.0007035277,0.0003875968],"domain_scores_gemma":[0.9982598,0.0001498457,0.00006399167,0.0004458462,0.0005984465,0.0004820352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009823862,0.0001509208,0.001257316,0.0001171519,0.00008646832,0.00008428408,0.00006947951,0.002323454,0.002452822,0.01107838,0.9620755,0.01932177],"study_design_scores_gemma":[0.001385169,0.0001280389,0.01234908,0.00008443135,0.0001130846,0.00008031273,0.0001660304,0.02170844,0.01005564,0.01493898,0.9387873,0.0002034865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01967644,0.0009740278,0.03765176,0.008406872,0.002128936,0.0009256573,0.4527667,0.05450972,0.4229599],"genre_scores_gemma":[0.1844351,0.001040423,0.07200409,0.002872346,0.0007659359,0.001108609,0.4040093,0.02488567,0.3088785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4354351,"threshold_uncertainty_score":0.875999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825915433480123,"score_gpt":0.2528063131470181,"score_spread":0.2245471588122169,"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."}}