{"id":"W3097978729","doi":"","title":"Weak Informativity and the Information in One Prior Relative to Another","year":2012,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prior probability; Prior information; Characterization (materials science); Base (topology); A priori and a posteriori; Computer science; Econometrics; Mathematical economics; Statistics; Mathematics; Artificial intelligence; Bayesian probability; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04975002,0.001148583,0.002090451,0.00364655,0.001982187,0.006941823,0.002819989,0.003001696,0.00438772],"category_scores_gemma":[0.1758744,0.001350866,0.001487409,0.003021438,0.01714364,0.01317104,0.00548612,0.006609996,0.0005778416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003473528,"about_ca_system_score_gemma":0.001503065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000563001,"about_ca_topic_score_gemma":0.0003948564,"domain_scores_codex":[0.9648416,0.02437311,0.001881049,0.004077961,0.004196597,0.0006297319],"domain_scores_gemma":[0.5984803,0.3583876,0.01764703,0.0174107,0.005591091,0.00248329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002000897,0.00004532814,0.002336218,0.0002600117,0.0001601478,0.0001873171,0.0005844865,0.01867924,0.001299032,0.9640346,0.0005137696,0.01169968],"study_design_scores_gemma":[0.00001357933,0.00005336725,0.0008745274,0.00006870858,0.00003749151,0.00008402334,0.00006263014,0.02168142,0.0007654182,0.9754562,0.0008775091,0.00002508748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06766293,0.001502853,0.9141657,0.004400648,0.00009285616,0.00008806783,0.0003561999,0.0001364013,0.01159433],"genre_scores_gemma":[0.8362932,0.001196619,0.1576977,0.001501239,0.0004095808,0.0003994587,0.0003223771,0.0001413648,0.002038401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04975002,"threshold_uncertainty_score":0.2631063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08696254128268906,"score_gpt":0.3531507008573769,"score_spread":0.2661881595746879,"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."}}