{"id":"W6894361183","doi":"10.5683/sp2/947rei","title":"CMB Background Data Series: Release 1","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Barometer; Data collection; Survey data collection; Cosmic microwave background; Government (linguistics)","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":[0.002251948,0.002597866,0.001623509,0.004360026,0.00178244,0.003259883,0.003854594,0.002292292,0.09262601],"category_scores_gemma":[0.01181307,0.001267255,0.001437265,0.01014264,0.0006382071,0.002235247,0.002328229,0.003019118,0.1976873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454233,"about_ca_system_score_gemma":0.00654339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1940619,"about_ca_topic_score_gemma":0.2635998,"domain_scores_codex":[0.997723,0.0003460551,0.0002449454,0.0006071232,0.0006427285,0.0004360801],"domain_scores_gemma":[0.9942809,0.0008577111,0.0003702917,0.001414296,0.002419633,0.0006572005],"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":[0.00001692639,0.000007229273,0.0002382141,0.0000840324,0.000006899194,0.000004719807,0.000007690202,0.00007138201,0.00002238105,0.0001466,0.9987779,0.00061596],"study_design_scores_gemma":[0.0001682972,0.00001017239,0.003843629,0.000161185,0.00001494237,0.00003151872,0.00007065701,0.0003261353,0.0001815597,0.0008401749,0.9943202,0.00003155743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004580294,0.00002301312,0.0000388521,0.00005865172,0.00002468099,0.00000712226,0.9990983,0.0003097006,0.0003939371],"genre_scores_gemma":[0.0001179571,0.00001930938,0.0001289186,0.00003306067,0.000006695347,0.00003359869,0.9991374,0.0000845843,0.000438489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1940619,"threshold_uncertainty_score":0.3858646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09305032665730363,"score_gpt":0.3304121567324802,"score_spread":0.2373618300751766,"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."}}