{"id":"W2086609233","doi":"10.1046/j.1365-8711.2000.03633.x","title":"Bayesian 'hyper-parameters' approach to joint estimation: the Hubble constant from CMB measurements","year":2000,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cosmic microwave background; Hubble's law; Bayesian probability; Cosmology; Prior probability; Set (abstract data type); Data set; Python (programming language)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01597996,0.001802061,0.002299485,0.005280778,0.001303292,0.004216014,0.004267158,0.002785442,0.003624019],"category_scores_gemma":[0.07157014,0.001962577,0.001645996,0.006207831,0.003062047,0.005165582,0.00383793,0.005254378,0.001334801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861082,"about_ca_system_score_gemma":0.002348537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009186807,"about_ca_topic_score_gemma":0.008858606,"domain_scores_codex":[0.9914404,0.005904491,0.0002674306,0.00114906,0.001038078,0.0002005211],"domain_scores_gemma":[0.9753085,0.01976699,0.001213889,0.002398992,0.001017518,0.0002939895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003091002,0.0001509565,0.007151013,0.000460042,0.001011128,0.0002349513,0.0005290505,0.3651285,0.001821078,0.290032,0.005139933,0.3280322],"study_design_scores_gemma":[0.00004922796,0.00003141861,0.003724184,0.00008885674,0.0001026556,0.0001283552,0.00006103309,0.48341,0.0007984001,0.5062723,0.005220538,0.0001129735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003656186,0.0007362649,0.9940707,0.0003228532,0.00002600603,0.0000281204,0.0001376133,0.0001842958,0.0008379991],"genre_scores_gemma":[0.1614877,0.002232158,0.8297058,0.0004040028,0.0004783019,0.0005361739,0.001679483,0.0004741836,0.003002163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01597996,"threshold_uncertainty_score":0.0845111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648892450527698,"score_gpt":0.2180281774541476,"score_spread":0.2015392529488707,"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."}}