{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002862508,0.0003676212,0.0003353207,0.0003550927,0.0002376418,0.00007366358,0.0006388564,0.0002939921,0.01675846],"category_scores_gemma":[0.00004151561,0.0002727866,0.0001145862,0.0002219106,0.0002734349,0.00001893398,0.000144028,0.0002458112,0.1086428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008571003,"about_ca_system_score_gemma":0.0004216497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6455386,"about_ca_topic_score_gemma":0.8794549,"domain_scores_codex":[0.9983701,0.00007430351,0.0001706336,0.0004421395,0.0003381775,0.0006047237],"domain_scores_gemma":[0.9984043,0.00001024338,0.0001780741,0.00104453,0.00005610997,0.0003067216],"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":[0.000002849413,0.00001112375,0.0001389669,0.000007703927,0.000181715,0.00003432187,0.0006466148,1.516635e-7,0.0002736989,0.0000670604,0.9984828,0.0001529576],"study_design_scores_gemma":[0.0001141321,0.00001114326,0.0001584426,0.0001249759,0.00003391452,0.00002486262,0.000132221,0.0000222546,0.0007953394,0.00003291054,0.9982117,0.0003380597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001039544,0.001170152,0.000002446375,0.0003823602,0.0006732844,0.000599851,0.0001510648,0.0003387555,0.9956425],"genre_scores_gemma":[0.04445693,0.00001222003,0.000202639,0.001047145,0.002315892,0.00008333465,0.0001182722,0.001861134,0.9499024],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2339162,"threshold_uncertainty_score":0.9999724,"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."}}